AWS R7a instance types

R7a is a memory optimized Amazon EC2 family with 12 instance types, from 1 – 192 vCPUs and 8 GiB – 1,536 GiB of memory, running on AMD EPYC 9R14 Processor. Linux on demand starts at $0.0761 per hour.

memory optimizedx86-64
sizes
12
vCPUs
1 – 192
memory
8 GiB – 1,536 GiB
processor
AMD EPYC 9R14 Processor
on-demand from
$0.0761

per hour · 9 regions

R7a sizes and prices

Linux, hourly, US East (N. Virginia) (other regions on each size's page)

SizevCPUMemoryLocal storageOn-demandMonthlySpot1-yr
r7a.medium18 GiB–$0.0761$55.54$0.0364$0.0503
r7a.large216 GiB–$0.1522$111$0.0698$0.1007
r7a.xlarge432 GiB–$0.3043$222$0.1408$0.2013
r7a.2xlarge864 GiB–$0.6086$444$0.2968$0.4026
r7a.4xlarge16128 GiB–$1.217$889$0.5987$0.8052
r7a.8xlarge32256 GiB–$2.434$1,777$0.9776$1.61
r7a.12xlarge48384 GiB–$3.652$2,666$1.717$2.416
r7a.16xlarge64512 GiB–$4.869$3,554$2.156$3.221
r7a.24xlarge96768 GiB–$7.303$5,331$2.993$4.831
r7a.32xlarge1281 TiB–$9.738$7,108$3.913$6.441
r7a.48xlarge1921,536 GiB–$14.61$10,663$6.077$9.662
r7a.metal-48xl1921,536 GiB–$14.61$10,663$4.778$9.662

R7a equivalents on other clouds

closest match to r7a.8xlarge (32 vCPU, 256 GiB)

AzureE32as v5Easv5 family · 32 vCPU · 256 GiB$1.808/hr · East USEasv5 family →
Google Cloudn4d-highmem-32N4D family · 32 vCPU · 256 GiB$1.779/hr · IowaN4D family →
AkamaiG8 Dedicated 128x32Dedicated CPU (G8) family · 32 vCPU · 128 GiB$1.68/hr · Newark, NJDedicated CPU (G8) family →
Vultrvx1-m-32c-256gbVX1: Memory Optimized family · 32 vCPU · 256 GiB$1.28/hr · New JerseyVX1: Memory Optimized family →

Other memory optimized families on AWS

R7a FAQ

What sizes does the AWS R7a family have?

R7a has 12 instance types, from r7a.medium (1 vCPU, 8 GiB) to r7a.metal-48xl (192 vCPU, 1,536 GiB). They run on AMD EPYC 9R14 Processor.

What is the cheapest R7a instance type?

r7a.medium at $0.0761 per hour (Linux, on demand) in US East (N. Virginia), about $55.54 per month.

What is R7a best for?

R7a is a memory optimized family. Lots of RAM per vCPU (8 GiB and up) for databases, caches and in-memory analytics.