Instances›AWS EC2›m8gn›m8gn.16xlarge
Compute
vCPUs64
Memory256 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth40,000 Mbps
Throughput5000 MB/s
IOPS160,000
Networking
Performance200 Gigabit
Max ENIs16
IPv6Yes
GPUNone
Family sizes
m8gn.medium1 vCPU · 4 GiB
m8gn.large2 vCPU · 8 GiB
m8gn.xlarge4 vCPU · 16 GiB
m8gn.2xlarge8 vCPU · 32 GiB
m8gn.4xlarge16 vCPU · 64 GiB
m8gn.8xlarge32 vCPU · 128 GiB
m8gn.12xlarge48 vCPU · 192 GiB
m8gn.16xlarge64 vCPU · 256 GiB
m8gn.24xlarge96 vCPU · 384 GiB
m8gn.metal-24xl96 vCPU · 384 GiB
m8gn.48xlarge192 vCPU · 768 GiB
m8gn.metal-48xl192 vCPU · 768 GiB
m8gn.16xlarge

The m8gn.16xlarge is a general-purpose AWS EC2 instance: 64 vCPU and 256 GiB of memory, 4.00 GiB per vCPU. In the name, "m" is the general-purpose line, "8" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "16xlarge" is the size within the m8gn family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in December 2025. AWS has since shipped m9g; m9g.16xlarge is the direct replacement at this size, scoring 2,328,543 CoreMark/s against this instance's 1,925,826 — roughly 21% more throughput for the same vCPU count. No single Spot node covers 64 vCPU and 256 GiB, so the equivalent is a fleet: 4 × gp.vs2.2xlarge, 64 vCPU and 256 GiB in total, $4.66/hr on AWS in US East (N. Virginia), from $0.164/hr on Rackspace Spot. Spot delivers compute as managed Kubernetes, so a node pool of that size is the native shape of the answer rather than a workaround — provided the workload scales horizontally.

Match qualityScale-out match

m8gn.16xlarge gives you 64 vCPU and 256 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 4 nodes rather than one.

Spot runs as managed Kubernetes, so a 4-node pool is the normal way to run things rather than a workaround. If your workload already sits behind a load balancer, a queue or a scheduler, it spreads across them without changes. If it needs all 64 cores and 256 GiB in one process, it does not.

x86_64 onlym8gn.16xlarge is Graviton (arm64) and Rackspace Spot has no arm64 nodes, so you'd be moving to x86. You'll need x86 builds of your images, and per-core speed differs between the chips — worth testing before you decide how many nodes to run.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$4.656$0.948$0.164
$4.492 savings
US Central, Chicagono AWS region$0.164
US Central, Dallasno AWS region$0.204
Hong Kong$0.044
Sydney, Australia$0.644
London, UK$0.884
US West, San Jose$0.604
US Central, Dallas 2no AWS region$0.004
US East, N. Virginia 2$4.656$0.948$0.604
$4.052 savings
When to use it
Good for
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Workloads that fit inside 256 GiB of RAM
  • ●Parallel work that can occupy 64 vCPU
  • ●Network-heavy services — AWS rates this size at 200 Gigabit
  • ●Anything that shards cleanly across 4 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 256 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
  • ●The work is single-threaded. Most of these 64 vCPU would sit idle.
Stop overpaying AWS. This compute costs $3,399/mo on AWS vs $120/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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