AWS M5n instance types
M5n is a general purpose Amazon EC2 family with 9 instance types, from 2 – 96 vCPUs and 8 GiB – 384 GiB of memory, running on Intel Xeon Platinum 8259 (Cascade Lake). Linux on demand starts at $0.119 per hour.
general purposex86-64
- sizes
- 9
- vCPUs
- 2 – 96
- memory
- 8 GiB – 384 GiB
- processor
- Intel Xeon Platinum 8259 (Cascade Lake)
- on-demand from
- $0.119
per hour · 9 regions
M5n sizes and prices
Linux, hourly, US East (N. Virginia) (other regions on each size's page)
| Size | vCPU | Memory | Local storage | On-demand | Monthly | Spot | 1-yr |
|---|---|---|---|---|---|---|---|
| m5n.large | 2 | 8 GiB | – | $0.119 | $86.87 | $0.0509 | $0.075 |
| m5n.xlarge | 4 | 16 GiB | – | $0.238 | $174 | $0.1031 | $0.15 |
| m5n.2xlarge | 8 | 32 GiB | – | $0.476 | $347 | $0.2596 | $0.30 |
| m5n.4xlarge | 16 | 64 GiB | – | $0.952 | $695 | $0.4645 | $0.60 |
| m5n.8xlarge | 32 | 128 GiB | – | $1.904 | $1,390 | $0.9307 | $1.20 |
| m5n.12xlarge | 48 | 192 GiB | – | $2.856 | $2,085 | $1.355 | $1.799 |
| m5n.16xlarge | 64 | 256 GiB | – | $3.808 | $2,780 | $1.752 | $2.399 |
| m5n.24xlarge | 96 | 384 GiB | – | $5.712 | $4,170 | $2.277 | $3.599 |
| m5n.metal | 96 | 384 GiB | – | $5.712 | $4,170 | $2.518 | $3.599 |
M5n equivalents on other clouds
closest match to m5n.8xlarge (32 vCPU, 128 GiB)
AkamaiG8 Dedicated 128x32Dedicated CPU (G8) family · 32 vCPU · 128 GiB$1.68/hr · Newark, NJDedicated CPU (G8) family →
Vultrvx1-g-32c-128gVX1: General Purpose family · 32 vCPU · 128 GiB$0.96/hr · New JerseyVX1: General Purpose family →
Other general purpose families on AWS
M5n FAQ
What sizes does the AWS M5n family have?
M5n has 9 instance types, from m5n.large (2 vCPU, 8 GiB) to m5n.metal (96 vCPU, 384 GiB). They run on Intel Xeon Platinum 8259 (Cascade Lake).
What is the cheapest M5n instance type?
m5n.large at $0.119 per hour (Linux, on demand) in US East (N. Virginia), about $86.87 per month.
What is M5n best for?
M5n is a general purpose family. Balanced CPU and memory (about 4 GiB per vCPU) for web apps, services and most workloads.