Instances›AWS EC2›m7g›m7g.2xlarge
Compute
vCPUs8
Memory32 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
m7g.medium1 vCPU · 4 GiB
m7g.large2 vCPU · 8 GiB
m7g.xlarge4 vCPU · 16 GiB
m7g.2xlarge8 vCPU · 32 GiB
m7g.4xlarge16 vCPU · 64 GiB
m7g.8xlarge32 vCPU · 128 GiB
m7g.12xlarge48 vCPU · 192 GiB
m7g.16xlarge64 vCPU · 256 GiB
m7g.metal64 vCPU · 256 GiB
m7g.2xlarge

The m7g.2xlarge is a general-purpose AWS EC2 instance: 8 vCPU and 32 GiB of memory, 4.00 GiB per vCPU. In the name, "m" is the general-purpose line, "7" is the generation, "g" marks AWS Graviton (ARM) processors and "2xlarge" is the size within the m7g family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in February 2023. AWS has since shipped m8g and m9g; m8g.2xlarge is the direct replacement at this size, scoring 240,493 CoreMark/s against this instance's 199,154 — roughly 21% more throughput for the same vCPU count. Rackspace Spot's gp.vs2.xlarge is a like-for-like substitute at 8 vCPU and 32 GiB, about 91% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m7g.2xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.vs2.xlarge 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.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.326$0.149$0.216$0.148$0.031
$0.295 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.081
Hong Kong$0.449$0.297$0.204$0.006
$0.443 savings
Sydney, Australia$0.408$0.180$0.270$0.185$0.006
$0.402 savings
London, UK$0.377$0.097$0.249$0.172$0.031
$0.346 savings
US West, San Jose$0.381$0.152$0.251$0.173$0.081
$0.300 savings
US Central, Dallas 2no AWS region$0.081
US East, N. Virginia 2$0.326$0.149$0.216$0.148$0.081
$0.245 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 32 GiB of RAM
  • ●Parallel work that can occupy 8 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●Starting a new deployment. m8g.2xlarge is the newer generation at this size.
  • ●The working set needs more than 32 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
Stop overpaying AWS. This compute costs $238/mo on AWS vs $23/mo on Rackspace Spot.
  • 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.
Build your Cloudspace
Frequently asked questions