AWS M9gd instance types

M9gd is a general purpose Amazon EC2 family with 11 instance types, from 1 – 192 vCPUs and 4 GiB – 768 GiB of memory, running on AWS Graviton5 Processor. Linux on demand starts at $0.0629 per hour.

general purposearm64
sizes
11
vCPUs
1 – 192
memory
4 GiB – 768 GiB
processor
AWS Graviton5 Processor
on-demand from
$0.0629

per hour · 10 regions

M9gd sizes and prices

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

SizevCPUMemoryLocal storageOn-demandMonthly
m9gd.medium14 GiB59 GB NVME$0.0629$45.88
m9gd.large28 GiB118 GB NVME$0.1257$91.76
m9gd.xlarge416 GiB237 GB NVME$0.2514$184
m9gd.2xlarge832 GiB474 GB NVME$0.5028$367
m9gd.4xlarge1664 GiB950 GB NVME$1.006$734
m9gd.8xlarge32128 GiB1.9 TB NVME$2.011$1,468
m9gd.12xlarge48192 GiB2.9 TB NVME (3 disks)$3.017$2,202
m9gd.16xlarge64256 GiB3.8 TB NVME$4.022$2,936
m9gd.24xlarge96384 GiB5.7 TB NVME (3 disks)$6.034$4,405
m9gd.48xlarge192768 GiB11.4 TB NVME (3 disks)$12.07$8,809
m9gd.metal-48xl192768 GiB11.4 TB NVME (3 disks)$12.07$8,809

M9gd equivalents on other clouds

closest match to m9gd.8xlarge (32 vCPU, 128 GiB)

AzureD32pds v5Dpdsv5 family · 32 vCPU · 128 GiB$1.446/hr · East USDpdsv5 family →
Google Cloudc4a-standard-32-lssdC4A family · 32 vCPU · 128 GiB$1.807/hr · IowaC4A family →
AkamaiG8 Dedicated 128x32Dedicated CPU (G8) family · 32 vCPU · 128 GiB$1.68/hr · Newark, NJDedicated CPU (G8) family →
Vultrvx1-g-32c-128g-1920sVX1: General Purpose family · 32 vCPU · 128 GiB$1.223/hr · FrankfurtVX1: General Purpose family →

Other general purpose families on AWS

M9gd FAQ

What sizes does the AWS M9gd family have?

M9gd has 11 instance types, from m9gd.medium (1 vCPU, 4 GiB) to m9gd.metal-48xl (192 vCPU, 768 GiB). They run on AWS Graviton5 Processor.

What is the cheapest M9gd instance type?

m9gd.medium at $0.0629 per hour (Linux, on demand) in US East (N. Virginia), about $45.88 per month.

What is M9gd best for?

M9gd is a general purpose family. Balanced CPU and memory (about 4 GiB per vCPU) for web apps, services and most workloads.