Instances›AWS EC2›m7gd›m7gd.xlarge
Compute
vCPUs4
Memory16 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 237 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs4
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.xlarge

The m7gd.xlarge is a general-purpose AWS EC2 instance: 4 vCPU and 16 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 "xlarge" 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.xlarge is the direct replacement at this size. Rackspace Spot's gp.vs2.large is a like-for-like substitute at 4 vCPU and 16 GiB, about 95% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m7gd.xlarge 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.xlarge comes with 1 × 237 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$0.214$0.102$0.135$0.092$0.011
$0.203 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.268$0.102$0.169$0.116$0.011
$0.257 savings
London, UK$0.248$0.031$0.156$0.107$0.026
$0.222 savings
US West, San Jose$0.251$0.051$0.158$0.109$0.041
$0.210 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.214$0.102$0.135$0.092$0.041
$0.173 savings
When to use it
Good for
  • ●Backend services with no single dominant resource
  • ●Queue workers and scheduled jobs
  • ●Web and application servers with mixed CPU and memory demand
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Jobs that want 1 × 237 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.xlarge is the newer generation at this size.
  • ●The working set needs more than 16 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.
m7gd.xlarge runs $156/mo on AWS on-demand. The equivalent on Rackspace Spot: $8/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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