Cloudera on cloud Service Rates

Amazon Web Services
Microsoft Azure
Google Cloud Platform (GCP)

Data Engineering - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Core Rate/hr	All-Purpose Rate/hr
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$6.7200	$19.2000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$4.4800	$12.8000
m6g.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6g.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6g.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6g.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6g.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m6gd.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m6gd.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m6gd.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m6gd.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m6gd.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m7g.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m7g.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m7g.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m7g.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m7g.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
m7gd.2xlarge	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
m7gd.4xlarge	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
m7gd.8xlarge	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
m7gd.12xlarge	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
m7gd.16xlarge	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000

r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6a.large	Memory Optimized	1	2	16	0	1.67	$0.1167	$0.3333
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.2333	$0.6667
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$7.4667	$21.3333
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$11.2000	$32.0000
r6g.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6g.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6g.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6g.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6g.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6gd.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6gd.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6gd.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6gd.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6gd.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$7.4667	$21.3333
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$5.6000	$16.0000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$7.4667	$21.3333
r7g.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r7g.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r7g.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r7g.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r7g.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
r7gd.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
r7gd.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
r7gd.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
r7gd.12xlarge	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
r7gd.16xlarge	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.8400	$2.4000
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c5.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5ad.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5ad.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.8400	$2.4000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$4.4800	$12.8000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$1.4933	$4.2667
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$2.2400	$6.4000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$2.9867	$8.5333

i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.4492	$1.2833
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.8983	$2.5667
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$1.7967	$5.1333

Data Warehouse - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
r5d.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r5ad.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r5dn.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r6id.4xlarge	Memory optimized	8	16	128	0	13.33	$0.9333
r6gd.4xlarge*	Memory Optimized	8	16	128	0	13.33	$0.9333
r7gd.4xlarge*	Memory Optimized	8	16	128	0	13.33	$0.9333

*The ARM based instances only support Impala virtual warehouses currently

AI - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.large	General Purpose	1	2	8	0	1.00	$0.2000
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m5d.large	General Purpose	1	2	8	0	1.00	$0.2000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m5a.large	General Purpose	1	2	8	0	1.00	$0.2000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m7a.large	General Purpose	1	2	8	0	1.00	$0.2000
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$12.8000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m7a.metal-48xl	General Purpose	96	192	768	0	96.00	$19.2000
m7i.large	General Purpose	1	2	8	0	1.00	$0.2000
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$4.8000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$6.4000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$9.6000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$19.2000
m7i.metal-24xl	General Purpose	48	96	384	0	48.00	$9.6000
m7i.metal-48xl	General Purpose	96	192	768	0	96.00	$19.2000
m7i-flex.large	General Purpose	1	2	8	0	1.00	$0.2000
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.4000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.8000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$1.6000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$3.2000

r4.xlarge	Memory Optimized	2	4	31	0	3.25	$0.6500
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$1.2833
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$2.5667
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$5.1333
r4.16xlarge	Memory Optimized	32	64	488	0	51.33	$10.2667
r5.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r5.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r5d.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r5a.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r5a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r5a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6i.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r6id.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7a.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7a.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7i.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$16.0000
r7i.48xlarge	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7i.metal-24xl	Memory Optimized	48	96	768	0	80.00	$16.0000
r7i.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$32.0000
r7iz.large	Memory Optimized	1	2	16	0	1.67	$0.3333
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.6667
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$5.3333
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$10.6667
r7iz.32xlarge	Memory Optimized	64	128	1024	0	106.67	$21.3333
r7iz.metal-16xl	Memory Optimized	32	64	512	0	53.33	$10.6667
r7iz.metal-32xl	Memory Optimized	64	128	1024	0	106.67	$21.3333
z1d.large	Memory Optimized	1	2	16	0	1.67	$0.3333
z1d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.6667
z1d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.3333
z1d.3xlarge	Memory Optimized	6	12	96	0	10.00	$2.0000
z1d.6xlarge	Memory Optimized	12	24	192	0	20.00	$4.0000
z1d.12xlarge	Memory Optimized	24	48	384	0	40.00	$8.0000

c4.2xlarge	Compute Optimized	4	8	15	0	2.58	$0.5167
c4.4xlarge	Compute Optimized	8	16	30	0	5.17	$1.0333
c4.8xlarge	Compute Optimized	18	36	60	0	11.00	$2.2000
c5.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$2.4000
c5.18xlarge	Compute Optimized	36	72	144	0	24.00	$4.8000
c5d.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$2.4000
c5d.18xlarge	Compute Optimized	36	72	144	0	24.00	$4.8000
c6a.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c6i.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c6id.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c7a.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7a.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$8.5333
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c7a.metal-48xl	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7i.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$3.2000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$4.2667
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$6.4000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i.metal-24xl	Compute Optimized	48	96	192	0	32.00	$6.4000
c7i.metal-48xl	Compute Optimized	96	192	384	0	64.00	$12.8000
c7i-flex.large	Compute Optimized	1	2	4	0	0.67	$0.1333
c7i-flex.xlarge	Compute Optimized	2	4	8	0	1.33	$0.2667
c7i-flex.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.5333
c7i-flex.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.0667
c7i-flex.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.1333

i3.xlarge	Storage Optimized	2	4	31	0	3.25	$0.6500
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$1.2833
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$2.5667
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$5.1333
i3.16xlarge	Storage Optimized	32	64	488	0	51.33	$10.2667

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$1.8358
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$7.3433
p3.16xlarge	GPU Optimized	32	64	488	8	51.33	$14.6867
p4d.24xlarge	GPU Optimized	48	96	1152	8	112.00	$25.04
p5.48xlarge	GPU Optimized	96	192	2048	8	256.00	$51.2000
g4dn.xlarge	GPU Optimized	2	4	16	1	2.00	$0.5200
g4dn.2xlarge	GPU Optimized	4	8	32	1	4.00	$0.8000
g4dn.4xlarge	GPU Optimized	8	16	64	1	8.00	$1.3600
g4dn.8xlarge	GPU Optimized	16	32	128	1	16.00	$2.4800
g4dn.12xlarge	GPU Optimized	24	48	192	4	24.00	$4.3200
g4dn.16xlarge	GPU Optimized	32	64	256	1	32.00	$4.7200
g4dn.metal	GPU Optimized	48	96	384	8	48.00	$8.6400
g5.xlarge	GPU Optimized	2	4	16	1	4.00	$0.8000
g5.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.2000
g5.4xlarge	GPU Optimized	8	16	64	1	10.00	$1.4000
g5.8xlarge	GPU Optimized	16	32	128	1	18.00	$2.5200
g5.12xlarge	GPU Optimized	24	48	192	4	32.00	$4.4800
g5.16xlarge	GPU Optimized	32	64	256	1	34.00	$4.7600
g5.24xlarge	GPU Optimized	48	96	384	4	56.00	$7.8400
g5.48xlarge	GPU Optimized	96	192	768	8	112.00	$15.6800
g6.xlarge	GPU Optimized	2	4	16	1	4.00	$0.8000
g6.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.2000
g6.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.0000
g6.8xlarge	GPU Optimized	16	32	128	1	18.00	$3.6000
g6.12xlarge	GPU Optimized	24	48	192	4	32.00	$6.4000
g6.16xlarge	GPU Optimized	32	64	256	1	34.00	$6.8000
g6.24xlarge	GPU Optimized	48	96	384	4	56.00	$11.2000
g6.48xlarge	GPU Optimized	96	192	768	4	112.00	$22.4000
gr6.4xlarge	GPU Optimized	8	16	128	1	15.33	$3.0667
gr6.8xlarge	GPU Optimized	16	32	256	1	28.67	$5.7333
g6e.xlarge	GPU Optimized	2	4	32	1	7.33	$1.4667
g6e.2xlarge	GPU Optimized	4	8	64	1	10.67	$2.1333
g6e.4xlarge	GPU Optimized	8	16	128	1	17.33	$3.4667
g6e.8xlarge	GPU Optimized	16	32	256	1	30.67	$6.1333
g6e.16xlarge	GPU Optimized	32	64	512	1	57.33	$11.4667
g6e.12xlarge	GPU Optimized	24	48	384	4	56.00	$11.2000
g6e.24xlarge	GPU Optimized	48	96	768	4	96.00	$19.2000
g6e.48xlarge	GPU Optimized	96	192	1536	8	192.00	$38.4000

AI Inference - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$16.0000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m7a.metal-48xl	General Purpose	96	192	768	0	96.00	$24.0000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$6.0000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$8.0000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$12.0000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$24.0000
m7i.metal-24xl	General Purpose	48	96	384	0	48.00	$12.0000
m7i.metal-48xl	General Purpose	96	192	768	0	96.00	$24.0000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$1.5000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$2.0000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$4.0000

r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$1.6042
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$3.2083
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$6.4167
r4.16xlarge	Memory Optimized	32	64	488	0	51.33	$12.8333
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r5.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r5.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r5a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r5a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r5a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r6a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6i.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r6id.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7a.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$20.0000
r7i.48xlarge	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7i.metal-24xl	Memory Optimized	48	96	768	0	80.00	$20.0000
r7i.metal-48xl	Memory Optimized	96	192	1536	0	160.00	$40.0000
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$3.3333
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$6.6667
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$13.3333
r7iz.32xlarge	Memory Optimized	64	128	1024	0	106.67	$26.6667
r7iz.metal-16xl	Memory Optimized	32	64	512	0	53.33	$13.3333
r7iz.metal-32xl	Memory Optimized	64	128	1024	0	106.67	$26.6667
z1d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.6667
z1d.3xlarge	Memory Optimized	6	12	96	0	10.00	$2.5000
z1d.6xlarge	Memory Optimized	12	24	192	0	20.00	$5.0000
z1d.12xlarge	Memory Optimized	24	48	384	0	40.00	$10.0000

c4.2xlarge	Compute Optimized	4	8	15	0	2.58	$1.5000
c4.4xlarge	Compute Optimized	8	16	30	0	5.17	$1.5000
c4.8xlarge	Compute Optimized	18	36	60	0	11.00	$2.7500
c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$3.0000
c5.18xlarge	Compute Optimized	36	72	144	0	24.00	$6.0000
c5d.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c5d.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c5d.9xlarge	Compute Optimized	18	36	72	0	12.00	$3.0000
c5d.18xlarge	Compute Optimized	36	72	144	0	24.00	$6.0000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$10.6667
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c7a.metal-48xl	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$4.0000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$5.3333
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$8.0000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i.metal-24xl	Compute Optimized	48	96	192	0	32.00	$8.0000
c7i.metal-48xl	Compute Optimized	96	192	384	0	64.00	$16.0000
c7i-flex.2xlarge	Compute Optimized	4	8	16	0	2.67	$1.5000
c7i-flex.4xlarge	Compute Optimized	8	16	32	0	5.33	$1.5000
c7i-flex.8xlarge	Compute Optimized	16	32	64	0	10.67	$2.6667

i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$1.6042
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$3.2083
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$6.4167
i3.16xlarge	Storage Optimized	32	64	488	0	51.33	$12.8333

p3.2xlarge	GPU Optimized	4	8	61	1	7.75	$1.9375
p3.8xlarge	GPU Optimized	16	32	244	4	31.00	$7.7500
p3.16xlarge	GPU Optimized	32	64	488	8	62.00	$15.5000
p4d.24xlarge	GPU Optimized	48	96	1152	8	138.67	$34.6667
p5.48xlarge	GPU Optimized	96	192	2048	8	256.00	$64.0000
g4dn.2xlarge	GPU Optimized	4	8	32	1	5.33	$1.5000
g4dn.4xlarge	GPU Optimized	8	16	64	1	9.33	$2.3333
g4dn.8xlarge	GPU Optimized	16	32	128	1	17.33	$4.3333
g4dn.12xlarge	GPU Optimized	24	48	192	4	29.33	$7.3333
g4dn.16xlarge	GPU Optimized	32	64	256	1	33.33	$8.3333
g4dn.metal	GPU Optimized	48	96	384	8	58.67	$14.6667
g5.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.5000
g5.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.5000
g5.8xlarge	GPU Optimized	16	32	128	1	18.00	$4.5000
g5.12xlarge	GPU Optimized	24	48	192	4	32.00	$8.0000
g5.16xlarge	GPU Optimized	32	64	256	1	34.00	$8.5000
g5.24xlarge	GPU Optimized	48	96	384	4	56.00	$14.0000
g5.48xlarge	GPU Optimized	96	192	768	8	112.00	$28.0000
g6.2xlarge	GPU Optimized	4	8	32	1	6.00	$1.5000
g6.4xlarge	GPU Optimized	8	16	64	1	10.00	$2.5000
g6.8xlarge	GPU Optimized	16	32	128	1	18.00	$4.5000
g6.16xlarge	GPU Optimized	32	64	256	1	34.00	$8.5000
g6.12xlarge	GPU Optimized	24	48	192	4	32.00	$8.0000
g6.24xlarge	GPU Optimized	48	96	384	4	56.00	$14.0000
g6.48xlarge	GPU Optimized	96	192	768	4	112.00	$28.0000
gr6.4xlarge	GPU Optimized	8	16	128	1	15.33	$3.8333
gr6.8xlarge	GPU Optimized	16	32	256	1	28.67	$7.1667
g6e.2xlarge	GPU Optimized	4	8	64	1	10.67	$2.6667
g6e.4xlarge	GPU Optimized	8	16	128	1	17.33	$4.3333
g6e.8xlarge	GPU Optimized	16	32	256	1	30.67	$7.6667
g6e.16xlarge	GPU Optimized	32	64	512	1	57.33	$14.3333
g6e.12xlarge	GPU Optimized	24	48	384	4	56.00	$14.0000
g6e.24xlarge	GPU Optimized	48	96	768	4	96.00	$24.0000
g6e.48xlarge	GPU Optimized	96	192	1536	8	192.00	$48.0000

Data Hub - AWS instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Data Hub Rate/hr
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5ad.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5ad.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5ad.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5dn.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m5dn.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5dn.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5dn.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m5dn.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m5dn.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m5dn.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m5n.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m5n.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m5n.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$2.8800
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$1.0000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$1.0000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$1.9200
m6idn.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6idn.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6idn.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6idn.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6idn.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6idn.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m6idn.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m6idn.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m6in.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m6in.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m6in.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m6in.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m6in.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m6in.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m6in.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m6in.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$2.5600
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$3.8400
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$0.9600
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$1.2800
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$1.9200
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$3.8400
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.0800
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.1600
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$0.3200
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$0.6400

r4.xlarge	Memory Optimized	2	4	30.5	0	3.21	$0.1283
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$0.2567
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$0.5133
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$1.0000
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5ad.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5ad.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.0000
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$2.4000
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$2.4000
r5dn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r5dn.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5dn.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5dn.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5dn.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r5n.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r5n.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r5n.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0000
r5n.16xlarge	Memory Optimized	32	64	512	0	53.33	$1.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$4.2667
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6idn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6idn.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6idn.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6idn.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6idn.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6idn.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6idn.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6idn.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r6in.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r6in.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r6in.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r6in.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r6in.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r6in.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r6in.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r6in.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$4.2667
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$6.4000
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$3.2000
r7i.48xlarge	Memory Optimized	96	192	1,536	0	160.00	$6.4000
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.1333
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$0.2667
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$0.5333
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$1.0667
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$1.6000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$2.1333
r7iz.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$4.2667
x1e.2xlarge	Memory Optimized	4	8	244	0	21.67	$0.8667
x1e.4xlarge	Memory Optimized	8	16	488	0	43.33	$1.0000
x1e.8xlarge	Memory Optimized	16	32	976	0	86.67	$2.6000
x1e.16xlarge	Memory Optimized	32	64	1952	0	173.33	$5.2000

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$0.4800
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c5a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c5a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c6in.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c6in.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c6in.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c6in.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c6in.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c6in.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c6in.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$1.7067
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.1067
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.2133
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$0.4267
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$0.6400
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$0.8533
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$1.2800
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$2.5600

d2.xlarge	Storage Optimized	2	4	30.5	0	3.21	$0.1283
d2.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.2567
d2.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.5133
d2.8xlarge	Storage Optimized	18	36	244	0	26.33	$1.0000
d3.xlarge	Storage Optimized	2	4	32	0	3.33	$0.1333
d3.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
d3.4xlarge	Storage Optimized	8	16	128	0	13.33	$0.5333
d3.8xlarge	Storage Optimized	16	32	256	0	26.67	$1.0000
d3en.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.1600
d3en.4xlarge	Storage Optimized	8	16	64	0	8.00	$0.3200
d3en.6xlarge	Storage Optimized	12	24	96	0	12.00	$0.4800
d3en.8xlarge	Storage Optimized	16	32	128	0	16.00	$0.6400
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.2567
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$0.5133
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$1.0000
i3en.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
i3en.3xlarge	Storage Optimized	6	12	96	0	10.00	$0.4000
i3en.6xlarge	Storage Optimized	12	24	192	0	20.00	$0.8000
i3en.12xlarge	Storage Optimized	24	48	384	0	40.00	$1.0000
i4i.xlarge	Storage Optimized	2	4	32	0	3.33	$0.1333
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.2667
i4i.4xlarge	Storage Optimized	8	16	128	0	13.33	$0.5333
i4i.8xlarge	Storage Optimized	16	32	256	0	26.67	$1.0667
i4i.12xlarge	Storage Optimized	24	48	384	0	40.00	$1.6000
i4i.16xlarge	Storage Optimized	32	64	512	0	53.33	$2.1333
i4i.24xlarge	Storage Optimized	48	96	768	0	80.00	$3.2000
i4i.32xlarge	Storage Optimized	64	128	1,024	0	106.67	$4.2667
h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.1600
h1.4xlarge	Storage Optimized	8	16	64	0	8.00	$0.3200
h1.8xlarge	Storage Optimized	16	32	128	0	16.00	$0.6400

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$1.1942
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$4.7500

Data Hub - Flow Management - AWS instances

The Flow Management rate applies to all nodes in a Data Hub Cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
m5.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5ad.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5ad.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5ad.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5ad.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5ad.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5ad.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5ad.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5d.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5d.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5d.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5d.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5d.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5d.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5d.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5dn.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m5dn.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5dn.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5dn.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m5dn.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m5dn.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m5dn.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m5n.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m5n.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m5n.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6a.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6a.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m6i.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6i.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6i.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6i.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6i.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6id.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6id.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6id.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6id.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6id.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6id.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6id.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6id.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6idn.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6idn.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6idn.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6idn.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6idn.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6idn.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6idn.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6idn.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m6in.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m6in.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m6in.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m6in.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m6in.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m6in.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m6in.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m6in.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m7a.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7a.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7a.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7a.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m7a.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m7a.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m7a.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m7a.32xlarge	General Purpose	64	128	512	0	64.00	$9.6000
m7a.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m7i.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000
m7i.12xlarge	General Purpose	24	48	192	0	24.00	$3.6000
m7i.16xlarge	General Purpose	32	64	256	0	32.00	$4.8000
m7i.24xlarge	General Purpose	48	96	384	0	48.00	$7.2000
m7i.48xlarge	General Purpose	96	192	768	0	96.00	$14.4000
m7i-flex.xlarge	General Purpose	2	4	16	0	2.00	$0.3000
m7i-flex.2xlarge	General Purpose	4	8	32	0	4.00	$0.6000
m7i-flex.4xlarge	General Purpose	8	16	64	0	8.00	$1.2000
m7i-flex.8xlarge	General Purpose	16	32	128	0	16.00	$2.4000

r4.xlarge	Memory Optimized	2	4	30.5	0	3.21	$0.4813
r4.2xlarge	Memory Optimized	4	8	61	0	6.42	$0.9625
r4.4xlarge	Memory Optimized	8	16	122	0	12.83	$1.9250
r4.8xlarge	Memory Optimized	16	32	244	0	25.67	$3.8500
r5.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5ad.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5ad.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5ad.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5ad.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5ad.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r5ad.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5ad.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r5d.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5d.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5d.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5d.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5d.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r5d.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5d.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r5dn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r5dn.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5dn.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5dn.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5dn.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r5n.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r5n.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r5n.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r5n.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6a.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6a.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6a.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$16.0000
r6i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6i.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6i.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6i.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6i.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6i.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6id.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6id.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6id.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6id.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6id.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6id.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6id.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6id.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6idn.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6idn.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6idn.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6idn.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6idn.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6idn.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6idn.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6idn.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r6in.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r6in.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r6in.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r6in.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r6in.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r6in.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r6in.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r6in.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
r7a.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7a.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7a.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7a.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7a.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7a.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7a.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r7a.32xlarge	Memory Optimized	64	128	1024	0	106.67	$16.0000
r7a.48xlarge	Memory Optimized	96	192	1536	0	160.00	$24.0000
r7i.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7i.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7i.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7i.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7i.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7i.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7i.24xlarge	Memory Optimized	48	96	768	0	80.00	$12.0000
r7i.48xlarge	Memory Optimized	96	192	1,536	0	160.00	$24.0000
r7iz.xlarge	Memory Optimized	2	4	32	0	3.33	$0.5000
r7iz.2xlarge	Memory Optimized	4	8	64	0	6.67	$1.0000
r7iz.4xlarge	Memory Optimized	8	16	128	0	13.33	$2.0000
r7iz.8xlarge	Memory Optimized	16	32	256	0	26.67	$4.0000
r7iz.12xlarge	Memory Optimized	24	48	384	0	40.00	$6.0000
r7iz.16xlarge	Memory Optimized	32	64	512	0	53.33	$8.0000
r7iz.32xlarge	Memory Optimized	64	128	1,024	0	106.67	$16.0000
x1e.2xlarge	Memory Optimized	4	8	244	0	21.67	$3.2500
x1e.4xlarge	Memory Optimized	8	16	488	0	43.33	$6.5000
x1e.8xlarge	Memory Optimized	16	32	976	0	86.67	$13.0000
x1e.16xlarge	Memory Optimized	32	64	1952	0	173.33	$26.0000

c5.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c5.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c5.9xlarge	Compute Optimized	18	36	72	0	12.00	$1.8000
c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c5a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c5a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c5a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c5a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6a.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6a.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6a.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6a.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000
c6i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6i.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6i.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6i.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6i.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6i.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6id.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6id.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6id.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6id.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6id.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6id.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6id.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c6in.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c6in.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c6in.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c6in.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c6in.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c6in.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c6in.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c7a.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c7a.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c7a.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c7a.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c7a.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c7a.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c7a.32xlarge	Compute Optimized	64	128	256	0	42.67	$6.4000
c7a.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000
c7i.2xlarge	Compute Optimized	4	8	16	0	2.67	$0.4000
c7i.4xlarge	Compute Optimized	8	16	32	0	5.33	$0.8000
c7i.8xlarge	Compute Optimized	16	32	64	0	10.67	$1.6000
c7i.12xlarge	Compute Optimized	24	48	96	0	16.00	$2.4000
c7i.16xlarge	Compute Optimized	32	64	128	0	21.33	$3.2000
c7i.24xlarge	Compute Optimized	48	96	192	0	32.00	$4.8000
c7i.48xlarge	Compute Optimized	96	192	384	0	64.00	$9.6000

d2.xlarge	Storage Optimized	2	4	30.5	0	3.21	$0.4813
d2.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.9625
d2.4xlarge	Storage Optimized	8	16	122	0	12.83	$1.9250
d2.8xlarge	Storage Optimized	18	36	244	0	26.33	$3.9500
d3.xlarge	Storage Optimized	2	4	32	0	3.33	$0.5000
d3.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
d3.4xlarge	Storage Optimized	8	16	128	0	13.33	$2.0000
d3.8xlarge	Storage Optimized	16	32	256	0	26.67	$4.0000
d3en.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.6000
d3en.4xlarge	Storage Optimized	8	16	64	0	8.00	$1.2000
d3en.6xlarge	Storage Optimized	12	24	96	0	12.00	$1.8000
d3en.8xlarge	Storage Optimized	16	32	128	0	16.00	$2.4000
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.9625
i3.4xlarge	Storage Optimized	8	16	122	0	12.83	$1.9250
i3.8xlarge	Storage Optimized	16	32	244	0	25.67	$3.8500
i3en.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
i3en.3xlarge	Storage Optimized	6	12	96	0	10.00	$1.5000
i3en.6xlarge	Storage Optimized	12	24	192	0	20.00	$3.0000
i3en.12xlarge	Storage Optimized	24	48	384	0	40.00	$6.0000
i4i.xlarge	Storage Optimized	2	4	32	0	3.33	$0.5000
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$1.0000
i4i.4xlarge	Storage Optimized	8	16	128	0	13.33	$2.0000
i4i.8xlarge	Storage Optimized	16	32	256	0	26.67	$4.0000
i4i.12xlarge	Storage Optimized	24	48	384	0	40.00	$6.0000
i4i.16xlarge	Storage Optimized	32	64	512	0	53.33	$8.0000
i4i.24xlarge	Storage Optimized	48	96	768	0	80.00	$12.0000
i4i.32xlarge	Storage Optimized	64	128	1,024	0	106.67	$16.0000
h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.6000
h1.4xlarge	Storage Optimized	8	16	64	0	8.00	$1.2000
h1.8xlarge	Storage Optimized	16	32	128	0	16.00	$2.4000

p3.2xlarge	GPU Optimized	4	8	61	1	6.42	$0.9625
p3.8xlarge	GPU Optimized	16	32	244	4	25.67	$3.8500

Operational Database - AWS instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m5.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m5.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800
m6i.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m6i.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m6i.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800
m7i.2xlarge	General Purpose	4	8	32	0	4.00	$0.3200
m7i.4xlarge	General Purpose	8	16	64	0	8.00	$0.6400
m7i.8xlarge	General Purpose	16	32	128	0	16.00	$1.2800

r5.8xlarge	Memory Optimized	16	32	256	0	26.67	$2.1333

c5.12xlarge	Compute Optimized	24	48	96	0	16.00	$1.2800

h1.2xlarge	Storage Optimized	4	8	32	0	4.00	$0.3200
i3.2xlarge	Storage Optimized	4	8	61	0	6.42	$0.5133
i4i.2xlarge	Storage Optimized	4	8	64	0	6.67	$0.5333

* Instance type is auto-selected by Operational Database based on workload needs

Data Flow Deployments & Test Sessions - AWS instances

Node Type	vCPUs	Memory	GPU	CCUs	Rate/hr
Extra Small	2	4	0	0.67	$0.2000
Small	3	6	0	1.00	$0.3000
Medium	6	12	0	2.00	$0.6000
Large	12	24	0	4.00	$1.2000

*Note: Test Sessions always use the Extra Small node type

Data Flow Functions - AWS

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See Data Flow Functions examples

*Notes:

Pricing Volume Tiers are per individual Data Flow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of Data Flow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - AWS instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
m5.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5ad.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5ad.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5ad.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5ad.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5ad.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5ad.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5ad.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5d.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5d.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5d.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5d.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5d.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5d.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5d.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5dn.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m5dn.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5dn.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5dn.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m5dn.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m5dn.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m5dn.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m5n.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m5n.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m5n.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6a.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6a.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m6i.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6i.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6i.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6i.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6i.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6i.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6i.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6i.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6id.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6id.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6id.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6id.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6id.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6id.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6id.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6id.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6idn.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6idn.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6idn.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6idn.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6idn.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6idn.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6idn.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6idn.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m6in.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m6in.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m6in.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m6in.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m6in.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m6in.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m6in.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m6in.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m7a.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7a.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7a.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7a.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m7a.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m7a.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m7a.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m7a.32xlarge	General purpose	64	128	512	0.00	64.00	$0.5760
m7a.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m7i.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7i.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7i.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7i.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440
m7i.12xlarge	General purpose	24	48	192	0.00	24.00	$0.2160
m7i.16xlarge	General purpose	32	64	256	0.00	32.00	$0.2880
m7i.24xlarge	General purpose	48	96	384	0.00	48.00	$0.4320
m7i.48xlarge	General purpose	96	192	768	0.00	96.00	$0.8640
m7i-flex.xlarge	General purpose	2	4	16	0.00	2.00	$0.0180
m7i-flex.2xlarge	General purpose	4	8	32	0.00	4.00	$0.0360
m7i-flex.4xlarge	General purpose	8	16	64	0.00	8.00	$0.0720
m7i-flex.8xlarge	General purpose	16	32	128	0.00	16.00	$0.1440

r4.xlarge	Memory optimized	2	4	30.5	0.00	3.21	$0.0289
r4.2xlarge	Memory optimized	4	8	61	0.00	6.42	$0.0578
r4.4xlarge	Memory optimized	8	16	122	0.00	12.83	$0.1155
r4.8xlarge	Memory optimized	16	32	244	0.00	25.67	$0.2310
r5.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5n.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5n.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5n.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5n.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5d.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5d.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5d.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5d.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5d.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r5d.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5d.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r5dn.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5dn.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5dn.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5dn.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5dn.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5ad.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r5ad.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r5ad.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r5ad.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r5ad.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r5ad.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r5ad.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6a.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6a.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6a.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6a.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6a.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6i.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6i.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6i.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6i.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6i.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6i.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6i.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6i.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6id.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6id.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6id.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6id.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6id.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6id.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6id.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6id.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6idn.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6idn.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6idn.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6idn.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6idn.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6idn.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6idn.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6idn.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r6in.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r6in.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r6in.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r6in.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r6in.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r6in.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r6in.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r6in.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r7a.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7a.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7a.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7a.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7a.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7a.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7a.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r7a.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
r7a.48xlarge	Memory optimized	96	192	1536	0.00	160.00	$1.4400
r7i.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7i.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7i.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7i.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7i.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7i.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7i.24xlarge	Memory optimized	48	96	768	0.00	80.00	$0.7200
r7i.48xlarge	Memory optimized	96	192	1536	0.00	160.00	$1.4400
r7iz.xlarge	Memory optimized	2	4	32	0.00	3.33	$0.0300
r7iz.2xlarge	Memory optimized	4	8	64	0.00	6.67	$0.0600
r7iz.4xlarge	Memory optimized	8	16	128	0.00	13.33	$0.1200
r7iz.8xlarge	Memory optimized	16	32	256	0.00	26.67	$0.2400
r7iz.12xlarge	Memory optimized	24	48	384	0.00	40.00	$0.3600
r7iz.16xlarge	Memory optimized	32	64	512	0.00	53.33	$0.4800
r7iz.32xlarge	Memory optimized	64	128	1024	0.00	106.67	$0.9600
x1e.2xlarge	Memory optimized	4	8	244	0.00	21.67	$0.1950
x1e.4xlarge	Memory optimized	8	16	488	0.00	43.33	$0.3900
x1e.8xlarge	Memory optimized	16	32	976	0.00	86.67	$0.7800
x1e.16xlarge	Memory optimized	32	64	1952	0.00	173.33	$1.5600

c5.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c5.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c5.9xlarge	Compute optimized	18	36	72	0.00	12.00	$0.1080
c5.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c5a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c5a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c5a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c5a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6a.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6a.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6a.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6a.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760
c6i.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6i.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6i.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6i.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6i.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6i.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6i.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6id.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6id.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6id.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6id.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6id.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6id.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6id.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c6in.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c6in.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c6in.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c6in.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c6in.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c6in.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c6in.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c7a.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c7a.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c7a.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c7a.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c7a.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c7a.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c7a.32xlarge	Compute optimized	64	128	256	0.00	42.67	$0.3840
c7a.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760
c7i.2xlarge	Compute optimized	4	8	16	0.00	2.67	$0.0240
c7i.4xlarge	Compute optimized	8	16	32	0.00	5.33	$0.0480
c7i.8xlarge	Compute optimized	16	32	64	0.00	10.67	$0.0960
c7i.12xlarge	Compute optimized	24	48	96	0.00	16.00	$0.1440
c7i.16xlarge	Compute optimized	32	64	128	0.00	21.33	$0.1920
c7i.24xlarge	Compute optimized	48	96	192	0.00	32.00	$0.2880
c7i.48xlarge	Compute optimized	96	192	384	0.00	64.00	$0.5760

i3.2xlarge	Storage optimized	4	8	61	0.00	6.42	$0.0578
i3.4xlarge	Storage optimized	8	16	122	0.00	12.83	$0.1155
i3.8xlarge	Storage optimized	16	32	244	0.00	25.67	$0.2310
i3en.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
i3en.3xlarge	Storage optimized	6	12	96	0.00	10.00	$0.0900
i3en.6xlarge	Storage optimized	12	24	192	0.00	20.00	$0.1800
i3en.12xlarge	Storage optimized	24	48	384	0.00	40.00	$0.3600
i4i.xlarge	Storage optimized	2	4	32	0.00	3.33	$0.0300
i4i.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
i4i.4xlarge	Storage optimized	8	16	128	0.00	13.33	$0.1200
i4i.8xlarge	Storage optimized	16	32	256	0.00	26.67	$0.2400
i4i.12xlarge	Storage optimized	24	48	384	0.00	40.00	$0.3600
i4i.16xlarge	Storage optimized	32	64	512	0.00	53.33	$0.4800
i4i.24xlarge	Storage optimized	48	96	768	0.00	80.00	$0.7200
i4i.32xlarge	Storage optimized	64	128	1024	0.00	106.67	$0.9600
h1.2xlarge	Storage optimized	4	8	32	0.00	4.00	$0.0360
h1.4xlarge	Storage optimized	8	16	64	0.00	8.00	$0.0720
h1.8xlarge	Storage optimized	16	32	128	0.00	16.00	$0.1440
d2.xlarge	Storage optimized	2	4	30.5	0.00	3.21	$0.0289
d2.2xlarge	Storage optimized	4	8	61	0.00	6.42	$0.0578
d2.4xlarge	Storage optimized	8	16	122	0.00	12.83	$0.1155
d2.8xlarge	Storage optimized	18	36	244	0.00	26.33	$0.2370
d3.xlarge	Storage optimized	2	4	32	0.00	3.33	$0.0300
d3.2xlarge	Storage optimized	4	8	64	0.00	6.67	$0.0600
d3.4xlarge	Storage optimized	8	16	128	0.00	13.33	$0.1200
d3.8xlarge	Storage optimized	16	32	256	0.00	26.67	$0.2400
d3en.2xlarge	Storage optimized	4	8	32	0.00	4.00	$0.0360
d3en.4xlarge	Storage optimized	8	16	64	0.00	8.00	$0.0720
d3en.6xlarge	Storage optimized	12	24	96	0.00	12.00	$0.1080
d3en.8xlarge	Storage optimized	16	32	128	0.00	16.00	$0.1440

p3.2xlarge	GPU optimized	4	8	61	1.00	6.42	$0.0578
p3.8xlarge	GPU optimized	16	32	244	4.00	25.67	$0.2310

Private Link Network Connection - AWS

Type of Private Link Network Connection	Price per hour
VPC	$0.50
Authorization	$5.00

Data Engineering - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Core Rate/hr	All-Purpose Rate/hr
D8s v4	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16s v4	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32s v4	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D64s v4	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D8as v4	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16as v4	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32as v4	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48as v4	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64as v4	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D4as v5	General Purpose	2	4	16	0	2.00	$0.1400	$0.4000
D8as v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16as v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32as v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48as v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64as v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D8ds v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16ds v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32ds v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48ds v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64ds v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D96ds v5	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000
D8s v5	General Purpose	4	8	32	0	4.00	$0.2800	$0.8000
D16s v5	General Purpose	8	16	64	0	8.00	$0.5600	$1.6000
D32s v5	General Purpose	16	32	128	0	16.00	$1.1200	$3.2000
D48s v5	General Purpose	24	48	192	0	24.00	$1.6800	$4.8000
D64s v5	General Purpose	32	64	256	0	32.00	$2.2400	$6.4000
D96s v5	General Purpose	48	96	384	0	48.00	$3.3600	$9.6000

E8s v3	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16s v3	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E32s v3	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E64s v3	Memory Optimized	32	64	432	0	46.67	$3.2667	$9.3333
E8s v4	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16s v4	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E32s v4	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E64s v4	Memory Optimized	32	64	504	0	52.67	$3.6867	$10.5333
E8as v4	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16as v4	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20as v4	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32as v4	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48as v4	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64as v4	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96as v4	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000
E8ads v5	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16ads v5	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20ads v5	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32ads v5	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48ads v5	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64ads v5	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96ads v5	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000
E8as v5	Memory Optimized	4	8	64	0	6.67	$0.4667	$1.3333
E16as v5	Memory Optimized	8	16	128	0	13.33	$0.9333	$2.6667
E20as v5	Memory Optimized	10	20	160	0	16.67	$1.1667	$3.3333
E32as v5	Memory Optimized	16	32	256	0	26.67	$1.8667	$5.3333
E48as v5	Memory Optimized	24	48	384	0	40.00	$2.8000	$8.0000
E64as v5	Memory Optimized	32	64	512	0	53.33	$3.7333	$10.6667
E96as v5	Memory Optimized	48	96	672	0	72.00	$5.0400	$14.4000

F8s v2	Compute Optimized	4	8	16	0	2.67	$0.1867	$0.5333
F16s v2	Compute Optimized	8	16	32	0	5.33	$0.3733	$1.0667
F32s v2	Compute Optimized	16	32	64	0	10.67	$0.7467	$2.1333
F48s v2	Compute Optimized	24	48	96	0	16.00	$1.1200	$3.2000
F72s v2	Compute Optimized	36	72	144	0	24.00	$1.6800	$4.8000

* Instance type is auto-selected by Operational Database based on workload needs

Data Warehouse - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
E16 v3	Memory optimized	8	16	128	0	13.33	$0.9333
E16ds v4	Memory-optimized	8	16	128	0	13.33	$0.9333
E16ads v5	Memory optimized	8	16	128	0	13.33	$0.9333
E16ds v5	Memory optimized	8	16	128	0	13.33	$0.9333
E16pds v5*	Memory Optimized	8	16	128	0	13.33	$0.9333

*The ARM based instances only support Impala virtual warehouses currently

AI - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
DS3 v2	General purpose	2	4	14	0	1.83	$0.3667
DS4 v2	General purpose	4	8	28	0	3.67	$0.7333
DS5 v2	General purpose	8	16	56	0	7.33	$1.4667
D3 v2	General purpose	2	4	14	0	1.83	$0.3667
D8s v3	General purpose	4	8	32	0	4	$0.8000
D16s v3	General purpose	8	16	64	0	8	$1.6000
D32s v3	General purpose	16	32	128	0	16	$3.2000
D64s v3	General purpose	32	64	256	0	32	$6.4000
D8 v3	General purpose	4	8	32	0	4	$0.8000
D16 v3	General purpose	8	16	64	0	8	$1.6000
D32 v3	General purpose	16	32	128	0	16	$3.2000
D64 v3	General purpose	32	64	256	0	32	$6.4000
DS12 v2	General purpose	2	4	28	0	3	$0.6000
DS13 v2	General purpose	4	8	56	0	6	$1.2000
DS14 v2	General purpose	8	16	112	0	12	$2.4000
DS15 v2	General purpose	10	20	140	0	15	$3.0000
D12 v2	General purpose	2	4	28	0	3	$0.6000
D13 v2	General purpose	4	8	56	0	6	$1.2000
D14 v2	General purpose	8	16	112	0	12	$2.4000
D15 v2	General purpose	10	20	140	0	15	$3.0000
D4as v4	General purpose	2	4	16	0	2	$0.4000
D8as v4	General purpose	4	8	32	0	4	$0.8000
D16as v4	General purpose	8	16	64	0	8	$1.6000
D32as v4	General purpose	16	32	128	0	16	$3.2000
D48as v4	General purpose	24	48	192	0	24	$4.8000
D64as v4	General purpose	32	64	256	0	32	$6.4000
D96as v4	General purpose	48	96	384	0	48	$9.6000
D4as v5	General purpose	2	4	16	0	2	$0.4000
D8as v5	General purpose	4	8	32	0	4	$0.8000
D16as v5	General purpose	8	16	64	0	8	$1.6000
D32as v5	General purpose	16	32	128	0	16	$3.2000
D48as v5	General purpose	24	48	192	0	24	$4.8000
D64as v5	General purpose	32	64	256	0	32	$6.4000
D96as v5	General purpose	48	96	384	0	48	$9.6000

E8s v3	Memory optimized	4	8	64	0	6.67	$1.3333
E16s v3	Memory optimized	8	16	128	0	13.33	$2.6667
E32s v3	Memory optimized	16	32	256	0	26.67	$5.3333
E64s v3	Memory optimized	32	64	432	0	46.67	$9.3333

L4s	Storage optimized	2	4	32	0	3.33	$0.6667
L8s	Storage optimized	4	8	64	0	6.67	$1.3333
L16s	Storage optimized	8	16	128	0	13.33	$2.6667
L32s	Storage optimized	16	32	256	0	26.67	$5.3333
L8s v2	Storage optimized	4	8	64	0	6.67	$1.3333
L16s v2	Storage optimized	8	16	128	0	13.33	$2.6667
L32s v2	Storage optimized	16	32	256	0	26.67	$5.3333
L64s v2	Storage optimized	32	64	512	0	53.33	$10.6667
L80s v2	Storage optimized	40	80	640	0	66.67	$13.3333
F4s v2	Storage optimized	2	4	8	0	1.33	$0.2667
F8s v2	Storage optimized	4	8	16	0	2.67	$0.5333
F16s v2	Storage optimized	8	16	32	0	5.33	$1.0667
F32s v2	Storage optimized	16	32	64	0	10.67	$2.1333
F64s v2	Storage optimized	32	64	128	0	21.33	$4.2667
F72s v2	Storage optimized	36	72	144	0	24	$4.8000
F4	Storage optimized	2	4	8	0	1.33	$0.2667
F8	Storage optimized	4	8	16	0	2.67	$0.5333
F16	Storage optimized	8	16	32	0	5.33	$1.0667

H16	High performance	16	32	112	0	14.67	$2.9333

NC6s v3	GPU Optimized	3	6	112	1	10.33	$2.3842
NC12s v3	GPU Optimized	6	12	224	2	20.67	$4.7683
NC24s v3	GPU Optimized	12	24	448	4	41.33	$9.5367
NC4as T4 v3	GPU Optimized	2	4	28	1	3.00	$0.6600
NC8as T4 v3	GPU Optimized	4	8	56	1	6.00	$1.0800
NC16as T4 v3	GPU Optimized	8	16	110	1	11.83	$1.8967
NC64as T4 v3	GPU Optimized	32	64	440	4	47.33	$7.5867
NC24ads A100 v4	GPU Optimized	12	24	220	1	29.00	$5.8000
NC48ads A100 v4	GPU Optimized	24	48	440	2	58.00	$11.6000
NC96ads A100 v4	GPU Optimized	48	96	880	4	116.00	$23.2000
ND6s	GPU Optimized	6	12	112	1	11.33	$1.9467
ND12s	GPU Optimized	12	24	224	2	22.67	$3.8933
ND24s	GPU Optimized	24	48	448	4	45.33	$7.7867
ND96asr A100 v4	GPU Optimized	96	192	900	8	107.00	$24.3400
ND96amsr A100 v4	GPU Optimized	48	96	1900	8	227.67	$45.5333
ND96isr v5	GPU Optimized	48	96	1900	8	227.67	$45.5333
NV12s v3	GPU Optimized	6	12	112	1	11.33	$2.2667
NV24s v3	GPU Optimized	12	24	224	2	22.67	$3.4358
NV48s v3	GPU Optimized	24	48	448	4	45.33	$9.0667
NV36adms A10 v5	GPU Optimized	18	36	880	1	81.33	$16.2667
NV36ads A10 v5	GPU Optimized	18	36	440	1	44.67	$8.9333
NV72ads A10 v5	GPU Optimized	36	72	880	2	89.33	$17.8667

AI Inference - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
DS4 v2	General Purpose	4	8	28	0	3.67	$1.5000
DS5 v2	General Purpose	8	16	56	0	7.33	$1.8333
D8s v3	General Purpose	4	8	32	0	4.00	$1.5000
D16s v3	General Purpose	8	16	64	0	8.00	$2.0000
D32s v3	General Purpose	16	32	128	0	16.00	$4.0000
D64s v3	General Purpose	32	64	256	0	32.00	$8.0000
D8 v3	General Purpose	4	8	32	0	4.00	$1.5000
D16 v3	General Purpose	8	16	64	0	8.00	$2.0000
D32 v3	General Purpose	16	32	128	0	16.00	$4.0000
D64 v3	General Purpose	32	64	256	0	32.00	$8.0000
DS13 v2	General Purpose	4	8	56	0	6.00	$1.5000
DS14 v2	General Purpose	8	16	112	0	12.00	$3.0000
DS15 v2	General Purpose	10	20	140	0	15.00	$3.7500
D13 v2	General Purpose	4	8	56	0	6.00	$1.5000
D14 v2	General Purpose	8	16	112	0	12.00	$3.0000
D15 v2	General Purpose	10	20	140	0	15.00	$3.7500
D8as v4	General Purpose	4	8	32	0	4.00	$1.5000
D16as v4	General Purpose	8	16	64	0	8.00	$2.0000
D32as v4	General Purpose	16	32	128	0	16.00	$4.0000
D48as v4	General Purpose	24	48	192	0	24.00	$6.0000
D64as v4	General Purpose	32	64	256	0	32.00	$8.0000
D96as v4	General Purpose	48	96	384	0	48.00	$12.0000
D8as v5	General Purpose	4	8	32	0	4.00	$1.5000
D16as v5	General Purpose	8	16	64	0	8.00	$2.0000
D32as v5	General Purpose	16	32	128	0	16.00	$4.0000
D48as v5	General Purpose	24	48	192	0	24.00	$6.0000
D64as v5	General Purpose	32	64	256	0	32.00	$8.0000
D96as v5	General Purpose	48	96	384	0	48.00	$12.0000

E8s v3	Memory Optimized	4	8	64	0	6.67	$1.6667
E16s v3	Memory Optimized	8	16	128	0	13.33	$3.3333
E32s v3	Memory Optimized	16	32	256	0	26.67	$6.6667
E64s v3	Memory Optimized	32	64	432	0	46.67	$11.6667

L8s	Storage Optimized	4	8	64	0	6.67	$1.6667
L16s	Storage Optimized	8	16	128	0	13.33	$3.3333
L32s	Storage Optimized	16	32	256	0	26.67	$6.6667
L8s v2	Storage Optimized	4	8	64	0	6.67	$1.6667
L16s v2	Storage Optimized	8	16	128	0	13.33	$3.3333
L32s v2	Storage Optimized	16	32	256	0	26.67	$6.6667
L64s v2	Storage Optimized	32	64	512	0	53.33	$13.3333
L80s v2	Storage Optimized	40	80	640	0	66.67	$16.6667
F8s v2	Storage Optimized	4	8	16	0	2.67	$1.5000
F16s v2	Storage Optimized	8	16	32	0	5.33	$1.5000
F32s v2	Storage Optimized	16	32	64	0	10.67	$2.6667
F64s v2	Storage Optimized	32	64	128	0	21.33	$5.3333
F72s v2	Storage Optimized	36	72	144	0	24.00	$6.0000
F8	Storage Optimized	4	8	16	0	2.67	$1.5000
F16	Storage Optimized	8	16	32	0	5.33	$1.5000

H16	High performance	16	32	112	0	14.67	$3.6667

NC12s v3	GPU Optimized	6	12	224	2	23.33	$5.8333
NC24s v3	GPU Optimized	12	24	448	4	46.67	$11.6667
NC8as T4 v3	GPU Optimized	4	8	56	1	7.33	$1.8333
NC16as T4 v3	GPU Optimized	8	16	110	1	13.17	$3.2917
NC64as T4 v3	GPU Optimized	32	64	440	4	52.67	$13.1667
NC24ads A100 v4	GPU Optimized	12	24	220	1	29.00	$7.2500
NC48ads A100 v4	GPU Optimized	24	48	440	2	58.00	$14.5000
NC96ads A100 v4	GPU Optimized	48	96	880	4	116.00	$29.0000
ND6s	GPU Optimized	6	12	112	1	13.33	$3.3333
ND12s	GPU Optimized	12	24	224	2	26.67	$6.6667
ND24s	GPU Optimized	24	48	448	4	53.33	$13.3333
ND96asr A100 v4	GPU Optimized	96	192	900	8	113.67	$28.4167
ND96amsr A100 v4	GPU Optimized	48	96	1900	8	227.67	$56.9167
ND96isr v5	GPU Optimized	48	96	1900	8	227.67	$56.9167
NV12s v3	GPU Optimized	6	12	112	1	12.00	$3.0000
NV24s v3	GPU Optimized	12	24	224	2	24.00	$6.0000
NV48s v3	GPU Optimized	24	48	448	4	48.00	$12.0000
NV36adms A10 v5	GPU Optimized	18	36	880	1	81.33	$20.3333
NV36ads A10 v5	GPU Optimized	18	36	440	1	44.67	$11.1667
NV72ads A10 v5	GPU Optimized	36	72	880	2	89.33	$22.3333

Data Hub - Azure instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D5 v2	General purpose	8	16	56	0	7.33	$0.2933
D8 v3	General purpose	4	8	32	0	4.00	$0.1600
D16 v3	General purpose	8	16	64	0	8.00	$0.3200
D32 v3	General purpose	16	32	128	0	16.00	$0.6400
D64 v3	General purpose	32	64	256	0	32.00	$1.0000
D4s v3	General purpose	2	4	16	0	2.00	$0.0800
D8s v3	General purpose	4	8	32	0	4.00	$0.1600
D16s v3	General purpose	8	16	64	0	8.00	$0.3200
D32s v3	General purpose	16	32	128	0	16.00	$0.6400
D48s v3	General purpose	24	48	192	0	24.00	$0.9600
D64s v3	General purpose	32	64	256	0	32.00	$1.0000
D8a v4	General purpose	4	8	32	0	4.00	$0.1600
D16a v4	General purpose	8	16	64	0	8.00	$0.3200
D32a v4	General purpose	16	32	128	0	16.00	$0.6400
D64a v4	General purpose	32	64	256	0	32.00	$1.0000
D8as v4	General purpose	4	8	32	0	4.00	$0.1600
D16as v4	General purpose	8	16	64	0	8.00	$0.3200
D32as v4	General purpose	16	32	128	0	16.00	$0.6400
D64as v4	General purpose	32	64	256	0	32.00	$1.0000
D8 v5	General purpose	4	8	32	0	4.00	$0.1600
D16 v5	General purpose	8	16	64	0	8.00	$0.3200
D32 v5	General purpose	16	32	128	0	16.00	$0.6400
D48 v5	General purpose	24	48	192	0	24.00	$0.9600
D64 v5	General purpose	32	64	256	0	32.00	$1.0000
D8s v5	General purpose	4	8	32	0	4.00	$0.1600
D16s v5	General purpose	8	16	64	0	8.00	$0.3200
D32s v5	General purpose	16	32	128	0	16.00	$0.6400
D48s v5	General purpose	24	48	192	0	24.00	$0.9600
D64s v5	General purpose	32	64	256	0	32.00	$1.0000
D8as v5	General purpose	4	8	32	0	4.00	$0.1600
D16as v5	General purpose	8	16	64	0	8.00	$0.3200
D32as v5	General purpose	16	32	128	0	16.00	$0.6400
D48as v5	General purpose	24	48	192	0	24.00	$0.9600
D64as v5	General purpose	32	64	256	0	32.00	$1.0000
D2ds v5	General Purpose	1	2	8	0	1.00	$0.0400
D4ds v5	General Purpose	2	4	16	0	2.00	$0.0800
D8ds v5	General Purpose	4	8	32	0	4.00	$0.1600
D16ds v5	General Purpose	8	16	64	0	8.00	$0.3200
D32ds v5	General Purpose	16	32	128	0	16.00	$0.6400
D48ds v5	General Purpose	24	48	192	0	24.00	$0.9600
D64ds v5	General Purpose	32	64	256	0	32.00	$1.2800
D96ds v5	General Purpose	48	96	384	0	48.00	$1.9200
D4ads v5	General Purpose	2	4	16	0	2.00	$0.0800
D8ads v5	General Purpose	4	8	32	0	4.00	$0.1600
D16ads v5	General Purpose	8	16	64	0	8.00	$0.3200
D32ads v5	General Purpose	16	32	128	0	16.00	$0.6400
D48ads v5	General Purpose	24	48	192	0	24.00	$0.9600
D64ads v5	General Purpose	32	64	256	0	32.00	$1.2800
D96ads v5	General Purpose	48	96	384	0	48.00	$1.9200


D13 v2	Memory optimized	4	8	56	0	6.00	$0.2400
D14 v2	Memory optimized	8	16	112	0	12.00	$0.4800
E4 v3	Memory optimized	2	4	32	0	3.33	$0.1333
E8 v3	Memory optimized	4	8	64	0	6.67	$0.2667
E16 v3	Memory optimized	8	16	128	0	13.33	$0.5333
E32 v3	Memory optimized	16	32	256	0	26.67	$1.0000
E64 v3	Memory optimized	32	64	432	0	46.67	$1.0000
E4s v3	Memory optimized	2	4	32	0	3.33	$0.1333
E8s v3	Memory optimized	4	8	64	0	6.67	$0.2667
E16s v3	Memory optimized	8	16	128	0	13.33	$0.5333
E16-8s v3	Memory optimized	4	8	128	0	12.00	$0.4800
E20s v3	Memory optimized	10	20	160	0	16.67	$0.6667
E32s v3	Memory optimized	16	32	256	0	26.67	$1.0000
E48s v3	Memory optimized	24	48	384	0	40.00	$1.0000
E64s v3	Memory optimized	32	64	432	0	46.67	$1.0000
E8a v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16a v4	Memory optimized	8	16	128	0	13.33	$0.5333
E32a v4	Memory optimized	16	32	256	0	26.67	$1.0000
E64a v4	Memory optimized	32	64	512	0	53.33	$1.0000
E4s v4	Memory optimized	2	4	32	0	3.33	$0.1333
E8s v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16s v4	Memory optimized	8	16	128	0	13.33	$0.5333
E20s v4	Memory optimized	10	20	160	0	16.67	$0.6667
E32s v4	Memory optimized	16	32	256	0	26.67	$1.0000
E48s v4	Memory optimized	24	48	384	0	40.00	$1.0000
E64s v4	Memory optimized	32	64	504	0	52.67	$1.0000
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.1333
E8ds v4	Memory optimized	4	8	64	0	6.67	$0.2667
E16ds v4	Memory optimized	8	16	128	0	13.33	$0.5333
E20ds v4	Memory optimized	10	20	160	0	16.67	$0.6667
E32ds v4	Memory optimized	16	32	256	0	26.67	$1.0000
E48ds v4	Memory optimized	24	48	384	0	40.00	$1.0000
E64ds v4	Memory optimized	32	64	504	0	52.67	$1.0000
E4a v4	Memory optimized	2	4	32	0	3.33	$0.1333
E4as v5	Memory optimized	2	4	32	0	3.33	$0.1333
E8as v5	Memory optimized	4	8	64	0	6.67	$0.2667
E16as v5	Memory optimized	8	16	128	0	13.33	$0.5333
E20as v5	Memory optimized	10	20	160	0	16.67	$0.6667
E32as v5	Memory optimized	16	32	256	0	26.67	$1.0000
E48as v5	Memory optimized	24	48	384	0	40.00	$1.0000
E64as v5	Memory optimized	32	64	512	0	53.33	$1.0000
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.1333
E8ds v5	Memory Optimized	4	8	64	0	6.67	$0.2667
E16ds v5	Memory Optimized	8	16	128	0	13.33	$0.5333
E20ds v5	Memory Optimized	10	20	160	0	16.67	$0.6667
E32ds v5	Memory Optimized	16	32	256	0	26.67	$1.0667
E48ds v5	Memory Optimized	24	48	384	0	40.00	$1.6000
E64ds v5	Memory Optimized	32	64	512	0	53.33	$2.1333
E96ds v5	Memory Optimized	48	96	672	0	72.00	$2.8800
E104ids v5	Memory Optimized	52	104	672	0	73.33	$2.9333
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.1333
E8s v5	Memory Optimized	4	8	64	0	6.67	$0.2667
E16s v5	Memory Optimized	8	16	128	0	13.33	$0.5333
E20s v5	Memory Optimized	10	20	160	0	16.67	$0.6667
E32s v5	Memory Optimized	16	32	256	0	26.67	$1.0667
E48s v5	Memory Optimized	24	48	384	0	40.00	$1.6000
E64s v5	Memory Optimized	32	64	512	0	53.33	$2.1333
E96s v5	Memory Optimized	48	96	672	0	72.00	$2.8800
E104is v5	Memory Optimized	52	104	672	0	73.33	$2.9333

F8s v2	Compute optimized	4	8	16	0	2.67	$0.1067
F16s v2	Compute optimized	8	16	32	0	5.33	$0.2133
F32s v2	Compute optimized	16	32	64	0	10.67	$0.4267

L8s v2	Storage optimized	4	8	64	0	6.67	$0.2667
L16s v2	Storage optimized	8	16	128	0	13.33	$0.5333
L32s v2	Storage optimized	16	32	256	0	26.67	$1.0000
L48s v2	Storage optimized	24	48	384	0	40.00	$1.0000
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.2667

NC6	GPU optimized	3	6	56	1	5.67	$0.3579
NC24r	GPU optimized	12	24	224	4	22.67	$1.4317
NC6s v3	GPU optimized	3	6	112	1	10.33	$1.3508
NC24s v3	GPU optimized	12	24	448	4	41.33	$4.7500

Data Hub - Flow Management - Azure instances

The Flow Management rate applies to all nodes in a Data Hub cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
D5 v2	General purpose	8	16	56	0	7.33	$1.1000
D8 v3	General purpose	4	8	32	0	4.00	$0.6000
D16 v3	General purpose	8	16	64	0	8.00	$1.2000
D32 v3	General purpose	16	32	128	0	16.00	$2.4000
D64 v3	General purpose	32	64	256	0	32.00	$4.8000
D4s v3	General purpose	2	4	16	0	2.00	$0.3000
D8s v3	General purpose	4	8	32	0	4.00	$0.6000
D16s v3	General purpose	8	16	64	0	8.00	$1.2000
D32s v3	General purpose	16	32	128	0	16.00	$2.4000
D48s v3	General purpose	24	48	192	0	24.00	$3.6000
D64s v3	General purpose	32	64	256	0	32.00	$4.8000
D8a v4	General purpose	4	8	32	0	4.00	$0.6000
D16a v4	General purpose	8	16	64	0	8.00	$1.2000
D32a v4	General purpose	16	32	128	0	16.00	$2.4000
D64a v4	General purpose	32	64	256	0	32.00	$4.8000
D8as v4	General purpose	4	8	32	0	4.00	$0.6000
D16as v4	General purpose	8	16	64	0	8.00	$1.2000
D32as v4	General purpose	16	32	128	0	16.00	$2.4000
D64as v4	General purpose	32	64	256	0	32.00	$4.8000
D8 v5	General purpose	4	8	32	0	4.00	$0.6000
D16 v5	General purpose	8	16	64	0	8.00	$1.2000
D32 v5	General purpose	16	32	128	0	16.00	$2.4000
D48 v5	General purpose	24	48	192	0	24.00	$3.6000
D64 v5	General purpose	32	64	256	0	32.00	$4.8000
D8s v5	General purpose	4	8	32	0	4.00	$0.6000
D16s v5	General purpose	8	16	64	0	8.00	$1.2000
D32s v5	General purpose	16	32	128	0	16.00	$2.4000
D48s v5	General purpose	24	48	192	0	24.00	$3.6000
D64s v5	General purpose	32	64	256	0	32.00	$4.8000
D8as v5	General purpose	4	8	32	0	4.00	$0.6000
D16as v5	General purpose	8	16	64	0	8.00	$1.2000
D32as v5	General purpose	16	32	128	0	16.00	$2.4000
D48as v5	General purpose	24	48	192	0	24.00	$3.6000
D64as v5	General purpose	32	64	256	0	32.00	$4.8000
D2ds v5	General Purpose	1	2	8	0	1.00	$0.1500
D4ds v5	General Purpose	2	4	16	0	2.00	$0.3000
D8ds v5	General Purpose	4	8	32	0	4.00	$0.6000
D16ds v5	General Purpose	8	16	64	0	8.00	$1.2000
D32ds v5	General Purpose	16	32	128	0	16.00	$2.4000
D48ds v5	General Purpose	24	48	192	0	24.00	$3.6000
D64ds v5	General Purpose	32	64	256	0	32.00	$4.8000
D96ds v5	General Purpose	48	96	384	0	48.00	$7.2000
D4ads v5	General Purpose	2	4	16	0	2.00	$0.3000
D8ads v5	General Purpose	4	8	32	0	4.00	$0.6000
D16ads v5	General Purpose	8	16	64	0	8.00	$1.2000
D32ads v5	General Purpose	16	32	128	0	16.00	$2.4000
D48ads v5	General Purpose	24	48	192	0	24.00	$3.6000
D64ads v5	General Purpose	32	64	256	0	32.00	$4.8000
D96ads v5	General Purpose	48	96	384	0	48.00	$7.2000

D13 v2	Memory optimized	4	8	56	0	6.00	$0.9000
D14 v2	Memory optimized	8	16	112	0	12.00	$1.8000
E4 v3	Memory optimized	2	4	32	0	3.33	$0.5000
E8 v3	Memory optimized	4	8	64	0	6.67	$1.0000
E16 v3	Memory optimized	8	16	128	0	13.33	$2.0000
E32 v3	Memory optimized	16	32	256	0	26.67	$4.0000
E64 v3	Memory optimized	32	64	432	0	46.67	$7.0000
E4s v3	Memory optimized	2	4	32	0	3.33	$0.5000
E8s v3	Memory optimized	4	8	64	0	6.67	$1.0000
E16s v3	Memory optimized	8	16	128	0	13.33	$2.0000
E16-8s v3	Memory optimized	4	8	128	0	12.00	$1.8000
E20s v3	Memory optimized	10	20	160	0	16.67	$2.5000
E32s v3	Memory optimized	16	32	256	0	26.67	$4.0000
E48s v3	Memory optimized	24	48	384	0	40.00	$6.0000
E64s v3	Memory optimized	32	64	432	0	46.67	$7.0000
E8a v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16a v4	Memory optimized	8	16	128	0	13.33	$2.0000
E32a v4	Memory optimized	16	32	256	0	26.67	$4.0000
E64a v4	Memory optimized	32	64	512	0	53.33	$8.0000
E4s v4	Memory optimized	2	4	32	0	3.33	$0.5000
E8s v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16s v4	Memory optimized	8	16	128	0	13.33	$2.0000
E20s v4	Memory optimized	10	20	160	0	16.67	$2.5000
E32s v4	Memory optimized	16	32	256	0	26.67	$4.0000
E48s v4	Memory optimized	24	48	384	0	40.00	$6.0000
E64s v4	Memory optimized	32	64	504	0	52.67	$7.9000
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.5000
E8ds v4	Memory optimized	4	8	64	0	6.67	$1.0000
E16ds v4	Memory optimized	8	16	128	0	13.33	$2.0000
E20ds v4	Memory optimized	10	20	160	0	16.67	$2.5000
E32ds v4	Memory optimized	16	32	256	0	26.67	$4.0000
E48ds v4	Memory optimized	24	48	384	0	40.00	$6.0000
E64ds v4	Memory optimized	32	64	504	0	52.67	$7.9000
E4a v4	Memory optimized	2	4	32	0	3.33	$0.5000
E4as v5	Memory optimized	2	4	32	0	3.33	$0.5000
E8as v5	Memory optimized	4	8	64	0	6.67	$1.0000
E16as v5	Memory optimized	8	16	128	0	13.33	$2.0000
E20as v5	Memory optimized	10	20	160	0	16.67	$2.5000
E32as v5	Memory optimized	16	32	256	0	26.67	$4.0000
E48as v5	Memory optimized	24	48	384	0	40.00	$6.0000
E64as v5	Memory optimized	32	64	512	0	53.33	$8.0000
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.5000
E8ds v5	Memory Optimized	4	8	64	0	6.67	$1.0000
E16ds v5	Memory Optimized	8	16	128	0	13.33	$2.0000
E20ds v5	Memory Optimized	10	20	160	0	16.67	$2.5000
E32ds v5	Memory Optimized	16	32	256	0	26.67	$4.0000
E48ds v5	Memory Optimized	24	48	384	0	40.00	$6.0000
E64ds v5	Memory Optimized	32	64	512	0	53.33	$8.0000
E96ds v5	Memory Optimized	48	96	672	0	72.00	$10.8000
E104ids v5	Memory Optimized	52	104	672	0	73.33	$11.0000
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.5000
E8s v5	Memory Optimized	4	8	64	0	6.67	$1.0000
E16s v5	Memory Optimized	8	16	128	0	13.33	$2.0000
E20s v5	Memory Optimized	10	20	160	0	16.67	$2.5000
E32s v5	Memory Optimized	16	32	256	0	26.67	$4.0000
E48s v5	Memory Optimized	24	48	384	0	40.00	$6.0000
E64s v5	Memory Optimized	32	64	512	0	53.33	$8.0000
E96s v5	Memory Optimized	48	96	672	0	72.00	$10.8000
E104is v5	Memory Optimized	52	104	672	0	73.33	$11.0000

F8s v2	Compute optimized	4	8	16	0	2.67	$0.4000
F16s v2	Compute optimized	8	16	32	0	5.33	$0.8000
F32s v2	Compute optimized	16	32	64	0	10.67	$1.6000

L8s v2	Storage optimized	4	8	64	0	6.67	$1.0000
L16s v2	Storage optimized	8	16	128	0	13.33	$2.0000
L32s v2	Storage optimized	16	32	256	0	26.67	$4.0000
L48s v2	Storage optimized	24	48	384	0	40.00	$6.0000
L8as v3	Storage Optimized	4	8	64	0	6.67	$1.0000

NC6	GPU optimized	3	6	56	1	5.67	$0.8500
NC24r	GPU optimized	12	24	224	4	22.67	$3.4000
NC6s v3	GPU optimized	3	6	112	1	10.33	$1.5500
NC24s v3	GPU optimized	12	24	448	4	41.33	$6.2000

Operational Database - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D8 v3	General Purpose	4	8	32	0	4.00	$0.3200
D16 v3	General Purpose	8	16	64	0	8.00	$0.6400
D32 v3	General Purpose	16	32	128	0	16.00	$1.2800
D8s v3	General Purpose	4	8	32	0	4.00	$0.3200
D16s v3	General Purpose	8	16	64	0	8.00	$0.6400
D32s v3	General Purpose	16	32	128	0	16.00	$1.2800
D8a v4	General Purpose	4	8	32	0	4.00	$0.3200
D16a v4	General Purpose	8	16	64	0	8.00	$0.6400
D32a v4	General Purpose	16	32	128	0	16.00	$1.2800
D64a v4	General Purpose	32	64	256	0	32.00	$2.5600

E32s v3	Memory Optimized	16	32	256	0	26.67	$2.1333

L8s v2	Storage Optimized	4	8	64	0	6.67	$0.5333
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.5333

* Instance type is auto-selected by Operational Database based on workload needs

Data Flow Deployments & Test Sessions - Azure instances

Node Type	vCPUs	Memory	GPU	CCUs	Rate/hr
Extra Small	2	4	0	0.67	$0.2000
Small	3	6	0	1.00	$0.3000
Medium	6	12	0	2.00	$0.6000
Large	12	24	0	4.00	$1.2000

*Note: Test Sessions always use the Extra Small node type

Data Flow Functions - Azure

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See Data Flow Functions examples

*Notes:

Pricing Volume Tiers are per individual DataFlow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of DataFlow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - Azure instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
D5 v2	General purpose	8	16	56	0	7.33	$0.0660
D8 v3	General purpose	4	8	32	0	4.00	$0.0360
D16 v3	General purpose	8	16	64	0	8.00	$0.0720
D32 v3	General purpose	16	32	128	0	16.00	$0.1440
D64 v3	General purpose	32	64	256	0	32.00	$0.2880
D4s v3	General purpose	2	4	16	0	2.00	$0.0180
D8s v3	General purpose	4	8	32	0	4.00	$0.0360
D16s v3	General purpose	8	16	64	0	8.00	$0.0720
D32s v3	General purpose	16	32	128	0	16.00	$0.1440
D48s v3	General purpose	24	48	192	0	24.00	$0.2160
D64s v3	General purpose	32	64	256	0	32.00	$0.2880
D8a v4	General purpose	4	8	32	0	4.00	$0.0360
D16a v4	General purpose	8	16	64	0	8.00	$0.0720
D32a v4	General purpose	16	32	128	0	16.00	$0.1440
D64a v4	General purpose	32	64	256	0	32.00	$0.2880
D8as v4	General purpose	4	8	32	0	4.00	$0.0360
D16as v4	General purpose	8	16	64	0	8.00	$0.0720
D32as v4	General purpose	16	32	128	0	16.00	$0.1440
D64as v4	General purpose	32	64	256	0	32.00	$0.2880
D8 v5	General purpose	4	8	32	0	4.00	$0.0360
D16 v5	General purpose	8	16	64	0	8.00	$0.0720
D32 v5	General purpose	16	32	128	0	16.00	$0.1440
D48 v5	General purpose	24	48	192	0	24.00	$0.2160
D64 v5	General purpose	32	64	256	0	32.00	$0.2880
D8s v5	General purpose	4	8	32	0	4.00	$0.0360
D16s v5	General purpose	8	16	64	0	8.00	$0.0720
D32s v5	General purpose	16	32	128	0	16.00	$0.1440
D48s v5	General purpose	24	48	192	0	24.00	$0.2160
D64s v5	General purpose	32	64	256	0	32.00	$0.2880
D8as v5	General purpose	4	8	32	0	4.00	$0.0360
D16as v5	General purpose	8	16	64	0	8.00	$0.0720
D32as v5	General purpose	16	32	128	0	16.00	$0.1440
D48as v5	General purpose	24	48	192	0	24.00	$0.2160
D64as v5	General purpose	32	64	256	0	32.00	$0.2880
D2ds v5	General Purpose	1	2	8	0	1.00	$0.0090
D4ds v5	General Purpose	2	4	16	0	2.00	$0.0180
D8ds v5	General Purpose	4	8	32	0	4.00	$0.0360
D16ds v5	General Purpose	8	16	64	0	8.00	$0.0720
D32ds v5	General Purpose	16	32	128	0	16.00	$0.1440
D48ds v5	General Purpose	24	48	192	0	24.00	$0.2160
D64ds v5	General Purpose	32	64	256	0	32.00	$0.2880
D96ds v5	General Purpose	48	96	384	0	48.00	$0.4320
D4ads v5	General Purpose	2	4	16	0	2.00	$0.0180
D8ads v5	General Purpose	4	8	32	0	4.00	$0.0360
D16ads v5	General Purpose	8	16	64	0	8.00	$0.0720
D32ads v5	General Purpose	16	32	128	0	16.00	$0.1440
D48ads v5	General Purpose	24	48	192	0	24.00	$0.2160
D64ads v5	General Purpose	32	64	256	0	32.00	$0.2880
D96ads v5	General Purpose	48	96	384	0	48.00	$0.4320

D13 v2	Memory optimized	4	8	56	0	6.00	$0.0540
D14 v2	Memory optimized	8	16	112	0	12.00	$0.1080
E4 v3	Memory optimized	2	4	32	0	3.33	$0.0300
E8 v3	Memory optimized	4	8	64	0	6.67	$0.0600
E16 v3	Memory optimized	8	16	128	0	13.33	$0.1200
E32 v3	Memory optimized	16	32	256	0	26.67	$0.2400
E64 v3	Memory optimized	32	64	432	0	46.67	$0.4200
E4s v3	Memory optimized	2	4	32	0	3.33	$0.0300
E8s v3	Memory optimized	4	8	64	0	6.67	$0.0600
E16s v3	Memory optimized	8	16	128	0	13.33	$0.1200
E16-8s v3	Memory optimized	4	8	128	0	12.00	$0.1080
E20s v3	Memory optimized	10	20	160	0	16.67	$0.1500
E32s v3	Memory optimized	16	32	256	0	26.67	$0.2400
E48s v3	Memory optimized	24	48	384	0	40.00	$0.3600
E64s v3	Memory optimized	32	64	432	0	46.67	$0.4200
E8a v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16a v4	Memory optimized	8	16	128	0	13.33	$0.1200
E32a v4	Memory optimized	16	32	256	0	26.67	$0.2400
E64a v4	Memory optimized	32	64	512	0	53.33	$0.4800
E4s v4	Memory optimized	2	4	32	0	3.33	$0.0300
E8s v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16s v4	Memory optimized	8	16	128	0	13.33	$0.1200
E20s v4	Memory optimized	10	20	160	0	16.67	$0.1500
E32s v4	Memory optimized	16	32	256	0	26.67	$0.2400
E48s v4	Memory optimized	24	48	384	0	40.00	$0.3600
E64s v4	Memory optimized	32	64	504	0	52.67	$0.4740
E4ds v4	Memory optimized	2	4	32	0	3.33	$0.0300
E8ds v4	Memory optimized	4	8	64	0	6.67	$0.0600
E16ds v4	Memory optimized	8	16	128	0	13.33	$0.1200
E20ds v4	Memory optimized	10	20	160	0	16.67	$0.1500
E32ds v4	Memory optimized	16	32	256	0	26.67	$0.2400
E48ds v4	Memory optimized	24	48	384	0	40.00	$0.3600
E64ds v4	Memory optimized	32	64	504	0	52.67	$0.4740
E4a v4	Memory optimized	2	4	32	0	3.33	$0.0300
E4as v5	Memory optimized	2	4	32	0	3.33	$0.0300
E8as v5	Memory optimized	4	8	64	0	6.67	$0.0600
E16as v5	Memory optimized	8	16	128	0	13.33	$0.1200
E20as v5	Memory optimized	10	20	160	0	16.67	$0.1500
E32as v5	Memory optimized	16	32	256	0	26.67	$0.2400
E48as v5	Memory optimized	24	48	384	0	40.00	$0.3600
E64as v5	Memory optimized	32	64	512	0	53.33	$0.4800
E4ds v5	Memory Optimized	2	4	32	0	3.33	$0.0300
E8ds v5	Memory Optimized	4	8	64	0	6.67	$0.0600
E16ds v5	Memory Optimized	8	16	128	0	13.33	$0.1200
E20ds v5	Memory Optimized	10	20	160	0	16.67	$0.1500
E32ds v5	Memory Optimized	16	32	256	0	26.67	$0.2400
E48ds v5	Memory Optimized	24	48	384	0	40.00	$0.3600
E64ds v5	Memory Optimized	32	64	512	0	53.33	$0.4800
E96ds v5	Memory Optimized	48	96	672	0	72.00	$0.6480
E104ids v5	Memory Optimized	52	104	672	0	73.33	$0.6600
E4s v5	Memory Optimized	2	4	32	0	3.33	$0.0300
E8s v5	Memory Optimized	4	8	64	0	6.67	$0.0600
E16s v5	Memory Optimized	8	16	128	0	13.33	$0.1200
E20s v5	Memory Optimized	10	20	160	0	16.67	$0.1500
E32s v5	Memory Optimized	16	32	256	0	26.67	$0.2400
E48s v5	Memory Optimized	24	48	384	0	40.00	$0.3600
E64s v5	Memory Optimized	32	64	512	0	53.33	$0.4800
E96s v5	Memory Optimized	48	96	672	0	72.00	$0.6480
E104is v5	Memory Optimized	52	104	672	0	73.33	$0.6600

F8s v2	Compute optimized	4	8	16	0	2.67	$0.0240
F16s v2	Compute optimized	8	16	32	0	5.33	$0.0480
F32s v2	Compute optimized	16	32	64	0	10.67	$0.0960

L8s v2	Storage optimized	4	8	64	0	6.67	$0.0600
L16s v2	Storage optimized	8	16	128	0	13.33	$0.1200
L32s v2	Storage optimized	16	32	256	0	26.67	$0.2400
L48s v2	Storage optimized	24	48	384	0	40	$0.3600
L8as v3	Storage Optimized	4	8	64	0	6.67	$0.0600

NC6	GPU optimized	3	6	56	1	5.67	$0.0510
NC24r	GPU optimized	12	24	224	4	22.67	$0.2040
NC6s v3	GPU optimized	3	6	112	1	10.33	$0.0930
NC24s v3	GPU optimized	12	24	448	4	41.33	$0.3720

Private Link Network Connection - Azure

Type of Private Link Network Connection	Price per hour
VPC	$0.50
Authorization	$5.00

Data Hub - GCP Instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
e2-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
e2-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.0383
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.0767
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.1533
n1-standard-16	General Purpose	8	16	60	0	7.67	$0.3067
n1-standard-32	General Purpose	16	32	120	0	15.33	$0.6133
n1-standard-64	General Purpose	32	64	240	0	30.67	$1.0000
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n2-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n2-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n2-standard-64	General Purpose	32	64	256	0	32.00	$1.0000
n2-standard-80	General Purpose	40	80	320	0	40.00	$1.0000
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n2d-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n2d-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n2d-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n2d-standard-64	General Purpose	32	64	256	0	32.00	$1.0000
n2d-standard-80	General Purpose	40	80	320	0	40.00	$1.0000
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.0400
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.0800
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.1600
n4-standard-16	General Purpose	8	16	64	0	8.00	$0.3200
n4-standard-32	General Purpose	16	32	128	0	16.00	$0.6400
n4-standard-48	General Purpose	24	48	192	0	24.00	$0.9600
n4-standard-64	General Purpose	32	64	256	0	32.00	$1.2800
n4-standard-80	General Purpose	40	80	320	0	40.00	$1.6000

e2-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
e2-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.0667
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.1333
n2-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
n2-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2-highmem-32	High Memory	16	32	256	0	26.67	$1.0667
n2-highmem-48	High Memory	24	48	384	0	40.00	$1.6000
n2-highmem-64	High Memory	32	64	512	0	53.33	$2.1333
n2-highmem-80	High Memory	40	80	640	0	66.67	$2.6667
n2-highmem-96	High Memory	48	96	768	0	80.00	$3.2000
n2-highmem-128	High Memory	64	128	864	0	93.33	$3.7333
n2d-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n2d-highmem-32	High Memory	16	32	256	0	26.67	$1.0000
n2d-highmem-64	High Memory	32	64	512	0	53.33	$1.0000
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.0667
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.1333
n4-highmem-8	High Memory	4	8	64	0	6.67	$0.2667
n4-highmem-16	High Memory	8	16	128	0	13.33	$0.5333
n4-highmem-32	High Memory	16	32	256	0	26.67	$1.0667
n4-highmem-48	High Memory	24	48	384	0	40.00	$1.6000
n4-highmem-64	High Memory	32	64	512	0	53.33	$2.1333
n4-highmem-80	High Memory	40	80	640	0	66.67	$2.6667

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.0800
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.1600
e2-highcpu-32	High Compute	16	32	32	0	8.00	$0.3200
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.0800
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.1600
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$0.3200

Data Hub - Flow Management - GCP Instances

The Flow Management rate applies to all nodes in a Data Hub cluster running NiFi regardless of whether the official Flow Management template or a custom template was used to create the cluster.

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
e2-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
e2-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.1438
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.2875
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.5750
n1-standard-16	General Purpose	8	16	60	0	7.67	$1.1500
n1-standard-32	General Purpose	16	32	120	0	15.33	$2.3000
n1-standard-64	General Purpose	32	64	240	0	30.67	$4.6000
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n2-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n2-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n2-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n2-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n2-standard-80	General Purpose	40	80	320	0	40.00	$6.0000
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n2d-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n2d-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n2d-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n2d-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n2d-standard-80	General Purpose	40	80	320	0	40.00	$6.0000
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.1500
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.3000
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.6000
n4-standard-16	General Purpose	8	16	64	0	8.00	$1.2000
n4-standard-32	General Purpose	16	32	128	0	16.00	$2.4000
n4-standard-48	General Purpose	24	48	192	0	24.00	$3.6000
n4-standard-64	General Purpose	32	64	256	0	32.00	$4.8000
n4-standard-80	General Purpose	40	80	320	0	40.00	$6.0000

e2-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
e2-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.2500
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.5000
n2-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
n2-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n2-highmem-48	High Memory	24	48	384	0	40.00	$6.0000
n2-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n2-highmem-80	High Memory	40	80	640	0	66.67	$10.0000
n2-highmem-96	High Memory	48	96	768	0	80.00	$12.0000
n2-highmem-128	High Memory	64	128	864	0	93.33	$14.0000
n2d-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n2d-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n2d-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.2500
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.5000
n4-highmem-8	High Memory	4	8	64	0	6.67	$1.0000
n4-highmem-16	High Memory	8	16	128	0	13.33	$2.0000
n4-highmem-32	High Memory	16	32	256	0	26.67	$4.0000
n4-highmem-48	High Memory	24	48	384	0	40.00	$6.0000
n4-highmem-64	High Memory	32	64	512	0	53.33	$8.0000
n4-highmem-80	High Memory	40	80	640	0	66.67	$10.0000

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.3000
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.6000
e2-highcpu-32	High Compute	16	32	32	0	8.00	$1.2000
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.3000
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.6000
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$1.2000

Operational Database - GCP Instances

Instance	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr*
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.3200
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.6400
n2-standard-32	General Purpose	16	32	128	0	16.00	$1.2800

n2d-highmem-32	High Memory	16	32	256	0	26.67	$2.1333

Data Flow Functions - GCP Instances

Total Billable Invocations per Flow/Month	Price per Billable Invocation
First 1,000 Billable Invocations	$0.1000
Next 9,000 Billable Invocations	$0.0200
Next 90,000 Billable Invocations	$0.0020
Next 900,000 Billable Invocations	$0.0003
Over 1,000,001 Billable Invocations	$0.0001

See Data Flow Functions examples

*Notes:

Pricing Volume Tiers are per individual DataFlow Function
The volume table above is a tiered volume table, where the first 1,000 invocations are always charged at $0.10 per month, the next 9,000 invocations per month are charged at $0.02 per month and so on
“Billable invocation” is a combination of function invocations and function duration. Every time an instance of Data Flow Functions is invoked that counts as one Billable Invocation. If a DFF runs for more than one second, each subsequent second (after the initial second) counts as another Billable Invocation. In addition, if a DFF invocation runs for less than one second, each fractional second will count as one Billable Invocation.

Observability Premium - GCP Instances

Instance*	Category	Cores	vCPUs	RAM	GPU	CCUs	Rate/hr
e2-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
e2-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
e2-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
e2-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
e2-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n1-standard-2	General Purpose	1	2	7.5	0	0.96	$0.0086
n1-standard-4	General Purpose	2	4	15	0	1.92	$0.0173
n1-standard-8	General Purpose	4	8	30	0	3.83	$0.0345
n1-standard-16	General Purpose	8	16	60	0	7.67	$0.0690
n1-standard-32	General Purpose	16	32	120	0	15.33	$0.1380
n1-standard-64	General Purpose	32	64	240	0	30.67	$0.2760
n2-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n2-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n2-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n2-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n2-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n2-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n2-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n2-standard-80	General Purpose	40	80	320	0	40.00	$0.3600
n2d-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n2d-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n2d-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n2d-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n2d-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n2d-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n2d-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n2d-standard-80	General Purpose	40	80	320	0	40.00	$0.3600
n4-standard-2	General Purpose	1	2	8	0	1.00	$0.0090
n4-standard-4	General Purpose	2	4	16	0	2.00	$0.0180
n4-standard-8	General Purpose	4	8	32	0	4.00	$0.0360
n4-standard-16	General Purpose	8	16	64	0	8.00	$0.0720
n4-standard-32	General Purpose	16	32	128	0	16.00	$0.1440
n4-standard-48	General Purpose	24	48	192	0	24.00	$0.2160
n4-standard-64	General Purpose	32	64	256	0	32.00	$0.2880
n4-standard-80	General Purpose	40	80	320	0	40.00	$0.3600

e2-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
e2-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2-highmem-2	High Memory	1	2	16	0	1.67	$0.0150
n2-highmem-4	High Memory	2	4	32	0	3.33	$0.0300
n2-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
n2-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n2-highmem-48	High Memory	24	48	384	0	40.00	$0.3600
n2-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n2-highmem-80	High Memory	40	80	640	0	66.67	$0.6000
n2-highmem-96	High Memory	48	96	768	0	80.00	$0.7200
n2-highmem-128	High Memory	64	128	864	0	93.33	$0.8400
n2d-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n2d-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n2d-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n4-highmem-2	High Memory	1	2	16	0	1.67	$0.0150
n4-highmem-4	High Memory	2	4	32	0	3.33	$0.0300
n4-highmem-8	High Memory	4	8	64	0	6.67	$0.0600
n4-highmem-16	High Memory	8	16	128	0	13.33	$0.1200
n4-highmem-32	High Memory	16	32	256	0	26.67	$0.2400
n4-highmem-48	High Memory	24	48	384	0	40.00	$0.3600
n4-highmem-64	High Memory	32	64	512	0	53.33	$0.4800
n4-highmem-80	High Memory	40	80	640	0	66.67	$0.6000

e2-highcpu-8	High Compute	4	8	8	0	2.00	$0.0180
e2-highcpu-16	High Compute	8	16	16	0	4.00	$0.0360
e2-highcpu-32	High Compute	16	32	32	0	8.00	$0.0720
n2d-highcpu-8	High Compute	4	8	8	0	2.00	$0.0180
n2d-highcpu-16	High Compute	8	16	16	0	4.00	$0.0360
n2d-highcpu-32	High Compute	16	32	32	0	8.00	$0.0720

Misa Amane

Cloudera on cloud service rates

Data Engineering - AWS instances

Data Warehouse - AWS instances

AI - AWS instances

AI Inference - AWS instances

Data Hub - AWS instances

Data Hub - Flow Management - AWS instances

Operational Database - AWS instances

Data Flow Deployments & Test Sessions - AWS instances

Data Flow Functions - AWS

Observability Premium - AWS instances

Private Link Network Connection - AWS

Data Engineering - Azure instances

Data Warehouse - Azure instances

AI - Azure instances

AI Inference - Azure instances

Data Hub - Azure instances

Data Hub - Flow Management - Azure instances

Operational Database - Azure instances

Data Flow Deployments & Test Sessions - Azure instances

Data Flow Functions - Azure

Observability Premium - Azure instances

Private Link Network Connection - Azure

Data Hub - GCP Instances

Data Hub - Flow Management - GCP Instances

Operational Database - GCP Instances

Data Flow Functions - GCP Instances

Observability Premium - GCP Instances

Contact Us

Your form submission has failed.