Instances›AWS EC2›m8in›m8in.32xlarge
Compute
vCPUs128
Memory512 GiB
Mem / vCPU4.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth40,000 Mbps
Throughput5000 MB/s
IOPS160,000
Networking
Performance200 Gigabit
Max ENIs16
IPv6Yes
GPUNone
Family sizes
m8in.large2 vCPU · 8 GiB
m8in.xlarge4 vCPU · 16 GiB
m8in.2xlarge8 vCPU · 32 GiB
m8in.4xlarge16 vCPU · 64 GiB
m8in.8xlarge32 vCPU · 128 GiB
m8in.12xlarge48 vCPU · 192 GiB
m8in.16xlarge64 vCPU · 256 GiB
m8in.24xlarge96 vCPU · 384 GiB
m8in.32xlarge128 vCPU · 512 GiB
m8in.48xlarge192 vCPU · 768 GiB
m8in.metal-48xl192 vCPU · 768 GiB
m8in.96xlarge384 vCPU · 1536 GiB
m8in.metal-96xl384 vCPU · 1536 GiB
m8in.32xlarge

m8in.32xlarge is AWS's general-purpose EC2 size at 128 vCPU and 512 GiB. In the name, "m" is the general-purpose line, "8" is the generation, "in" marks Intel processors and enhanced networking and "32xlarge" is the size within the m8in family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in April 2026. AWS has since shipped m9g. The closest Spot shape is gp.vs2.2xlarge at 16 vCPU, so this instance maps to 8 of them — 128 vCPU and 512 GiB across the fleet, $10.69/hr on AWS in US East (N. Virginia), from $0.328/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

m8in.32xlarge gives you 128 vCPU and 512 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 8 nodes rather than one.

Spot runs as managed Kubernetes, so a 8-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 128 cores and 512 GiB in one process, it does not.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$10.693$3.215$0.328
$10.365 savings
US Central, Chicagono AWS region$0.328
US Central, Dallasno AWS region$0.408
Hong Kong$0.088
Sydney, Australia$1.288
London, UK$1.768
US West, San Jose$1.208
US Central, Dallas 2no AWS region$0.008
US East, N. Virginia 2$10.693$3.215$1.208
$9.485 savings
When to use it
Good for
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Workloads that fit inside 512 GiB of RAM
  • ●Parallel work that can occupy 128 vCPU
  • ●Network-heavy services — AWS rates this size at 200 Gigabit
  • ●Anything that shards cleanly across 8 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 512 GiB of RAM
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●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 128 vCPU would sit idle.
Stop overpaying AWS. This compute costs $7,806/mo on AWS vs $239/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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