Instances›AWS EC2›m8gd›m8gd.2xlarge
Compute
vCPUs8
Memory32 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
Type1 × 474 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
m8gd.medium1 vCPU · 4 GiB
m8gd.large2 vCPU · 8 GiB
m8gd.xlarge4 vCPU · 16 GiB
m8gd.2xlarge8 vCPU · 32 GiB
m8gd.4xlarge16 vCPU · 64 GiB
m8gd.8xlarge32 vCPU · 128 GiB
m8gd.12xlarge48 vCPU · 192 GiB
m8gd.16xlarge64 vCPU · 256 GiB
m8gd.24xlarge96 vCPU · 384 GiB
m8gd.metal-24xl96 vCPU · 384 GiB
m8gd.48xlarge192 vCPU · 768 GiB
m8gd.metal-48xl192 vCPU · 768 GiB
m8gd.2xlarge

The m8gd.2xlarge pairs 8 vCPU with 32 GiB of RAM, the 4.00 GiB-per-vCPU ratio that marks a general-purpose instance. In the name, "m" is the general-purpose line, "8" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "2xlarge" is the size within the m8gd family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in April 2025. AWS has since shipped m9gd; m9gd.2xlarge is the direct replacement at this size. gp.vs2.xlarge on Rackspace Spot lines up one-for-one: 8 vCPU and 32 GiB, about 93% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m8gd.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.

No local diskm8gd.2xlarge comes with 1 × 474 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$0.461$0.120$0.031
$0.430 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.081
Hong Kong$0.006
Sydney, Australia$0.580$0.198$0.006
$0.574 savings
London, UK$0.535$0.093$0.031
$0.504 savings
US West, San Jose$0.543$0.176$0.081
$0.462 savings
US Central, Dallas 2no AWS region$0.081
US East, N. Virginia 2$0.461$0.120$0.081
$0.380 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 32 GiB of RAM
  • ●Jobs that want 1 × 474 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 32 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.
$337/mo on AWS on-demand against $23/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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