Instances›AWS EC2›m7a›m7a.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorEPYC 9R14 Processor
Clock speedUp to 3.7 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
m7a.medium1 vCPU · 4 GiB
m7a.large2 vCPU · 8 GiB
m7a.xlarge4 vCPU · 16 GiB
m7a.2xlarge8 vCPU · 32 GiB
m7a.4xlarge16 vCPU · 64 GiB
m7a.8xlarge32 vCPU · 128 GiB
m7a.12xlarge48 vCPU · 192 GiB
m7a.16xlarge64 vCPU · 256 GiB
m7a.24xlarge96 vCPU · 384 GiB
m7a.32xlarge128 vCPU · 512 GiB
m7a.48xlarge192 vCPU · 768 GiB
m7a.metal-48xl192 vCPU · 768 GiB
m7a.large

The m7a.large pairs 2 vCPU with 8 GiB of RAM, the 4.00 GiB-per-vCPU ratio that marks a general-purpose instance. In the name, "m" is the general-purpose line, "7" is the generation, "a" marks AMD processors and "large" is the size within the m7a family. It runs on AMD EPYC 9R14 Processor at Up to 3.7 GHz, and AWS introduced it in August 2023. AWS has since shipped m8a and m9g; m8a.large is the direct replacement at this size, scoring 94,348 CoreMark/s against this instance's 67,950 — roughly 39% more throughput for the same vCPU count. gp.vs2.large is the closest Spot shape: 4 vCPU and 16 GiB, so 2 more vCPU and 8 GiB more memory, about 91% below the US East (N. Virginia) on-demand rate.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.116$0.034$0.077$0.053$0.011
$0.105 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.145$0.065$0.096$0.066$0.011
$0.134 savings
London, UK$0.134$0.053$0.088$0.061$0.026
$0.108 savings
US West, San Jose$0.041
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.116$0.034$0.077$0.053$0.041
$0.075 savings
When to use it
Good for
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Queue workers and scheduled jobs
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 12.5 Gigabit
Avoid if
  • ●Starting a new deployment. m8a.large is the newer generation at this size.
  • ●The working set needs more than 8 GiB of RAM
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
$85/mo on AWS on-demand against $8/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • Spot sells spare capacity at market prices. It is the cheapest compute on the internet.
  • Prices are set by supply and demand. You pay what the market decides.
  • Compute is delivered as fully managed Kubernetes. All infrastructure is taken care of.
  • Egress costs $0.01/GB after the free allowance. AWS charges $0.09/GB.
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Frequently asked questions