Instances›AWS EC2›m7gd›m7gd.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 118 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
m7gd.medium1 vCPU · 4 GiB
m7gd.large2 vCPU · 8 GiB
m7gd.xlarge4 vCPU · 16 GiB
m7gd.2xlarge8 vCPU · 32 GiB
m7gd.4xlarge16 vCPU · 64 GiB
m7gd.8xlarge32 vCPU · 128 GiB
m7gd.12xlarge48 vCPU · 192 GiB
m7gd.16xlarge64 vCPU · 256 GiB
m7gd.metal64 vCPU · 256 GiB
m7gd.large

m7gd.large is AWS's general-purpose EC2 size at 2 vCPU and 8 GiB. In the name, "m" is the general-purpose line, "7" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "large" is the size within the m7gd family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in July 2023. AWS has since shipped m8gd and m9gd; m8gd.large is the direct replacement at this size. Rackspace Spot maps this to gp.vs2.large (4 vCPU, 16 GiB), giving you 2 more vCPU and 8 GiB more memory, about 90% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m7gd.large is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.vs2.large is an x86_64 substitute with similar specs.

You will need x86 builds of your container images. Most software rebuilds without changes, but anything with compiled native code needs a real rebuild rather than a retag. Speed per core also differs between the two chips, so it is worth testing before deciding how many nodes to run.

No local diskm7gd.large comes with 1 × 118 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.107$0.044$0.067$0.046$0.011
$0.096 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.134$0.047$0.085$0.058$0.011
$0.123 savings
London, UK$0.124$0.031$0.078$0.053$0.026
$0.098 savings
US West, San Jose$0.126$0.046$0.079$0.054$0.041
$0.085 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.107$0.044$0.067$0.046$0.041
$0.066 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
  • ●Jobs that want 1 × 118 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 12.5 Gigabit
Avoid if
  • ●Starting a new deployment. m8gd.large is the newer generation at this size.
  • ●The working set needs more than 8 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
$78/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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