Instances›AWS EC2›m7gd›m7gd.4xlarge
Compute
vCPUs16
Memory64 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 950 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs8
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.4xlarge

The m7gd.4xlarge is a general-purpose AWS EC2 instance: 16 vCPU and 64 GiB of memory, 4.00 GiB per vCPU. In the name, "m" is the general-purpose line, "7" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "4xlarge" 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.4xlarge is the direct replacement at this size. Rackspace Spot's gp.vs2.2xlarge is a like-for-like substitute at 16 vCPU and 64 GiB, about 95% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m7gd.4xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.vs2.2xlarge 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.4xlarge comes with 1 × 950 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$0.854$0.619$0.538$0.369$0.041
$0.813 savings
US Central, Chicagono AWS region$0.041
US Central, Dallasno AWS region$0.051
Hong Kong$0.011
Sydney, Australia$1.073$0.347$0.676$0.464$0.161
$0.912 savings
London, UK$0.990$0.147$0.624$0.428$0.221
$0.769 savings
US West, San Jose$1.006$0.329$0.633$0.434$0.151
$0.855 savings
US Central, Dallas 2no AWS region$0.001
US East, N. Virginia 2$0.854$0.619$0.538$0.369$0.151
$0.703 savings
When to use it
Good for
  • ●Web and application servers with mixed CPU and memory demand
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Workloads that fit inside 64 GiB of RAM
  • ●Jobs that want 1 × 950 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●Starting a new deployment. m8gd.4xlarge is the newer generation at this size.
  • ●The working set needs more than 64 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
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
m7gd.4xlarge runs $624/mo on AWS on-demand. The equivalent on Rackspace Spot: $30/mo.
  • 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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