Instances›AWS EC2›m9gd›m9gd.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
Type1 × 118 GB NVMe SSD
Bandwidth12,000 Mbps
Throughput1500 MB/s
IOPS48,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
m9gd.medium1 vCPU · 4 GiB
m9gd.large2 vCPU · 8 GiB
m9gd.xlarge4 vCPU · 16 GiB
m9gd.2xlarge8 vCPU · 32 GiB
m9gd.4xlarge16 vCPU · 64 GiB
m9gd.8xlarge32 vCPU · 128 GiB
m9gd.12xlarge48 vCPU · 192 GiB
m9gd.16xlarge64 vCPU · 256 GiB
m9gd.24xlarge96 vCPU · 384 GiB
m9gd.48xlarge192 vCPU · 768 GiB
m9gd.metal-48xl192 vCPU · 768 GiB
m9gd.large

m9gd.large is AWS's general-purpose EC2 size at 2 vCPU and 8 GiB. In the name, "m" is the general-purpose line, "9" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "large" is the size within the m9gd family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in June 2026. m9gd is the current generation of the m family, so there is no newer AWS size to migrate to. Rackspace Spot maps this to gp.vs2.large (4 vCPU, 16 GiB), giving you 2 more vCPU and 8 GiB more memory, about 91% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m9gd.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 diskm9gd.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$0.126$0.025$0.011
$0.115 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.158$0.048$0.011
$0.147 savings
London, UK$0.026
US West, San Jose$0.041
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.126$0.025$0.041
$0.085 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 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 15 Gigabit
Avoid if
  • ●The working set needs more than 8 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 $92/mo on AWS vs $8/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.
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