Instances›AWS EC2›m9g›m9g.24xlarge
Compute
vCPUs96
Memory384 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth36,000 Mbps
Throughput4500 MB/s
IOPS144,000
Networking
Performance50 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
m9g.medium1 vCPU · 4 GiB
m9g.large2 vCPU · 8 GiB
m9g.xlarge4 vCPU · 16 GiB
m9g.2xlarge8 vCPU · 32 GiB
m9g.4xlarge16 vCPU · 64 GiB
m9g.8xlarge32 vCPU · 128 GiB
m9g.12xlarge48 vCPU · 192 GiB
m9g.16xlarge64 vCPU · 256 GiB
m9g.24xlarge96 vCPU · 384 GiB
m9g.48xlarge192 vCPU · 768 GiB
m9g.metal-48xl192 vCPU · 768 GiB
m9g.24xlarge

The m9g.24xlarge pairs 96 vCPU with 384 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, "9" is the generation, "g" marks AWS Graviton (ARM) processors and "24xlarge" is the size within the m9g family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in June 2026. m9g is the current generation of the m family, so there is no newer AWS size to migrate to. Spot's node ladder tops out below this size, so m9g.24xlarge becomes 6 × gp.vs2.2xlarge (96 vCPU, 384 GiB combined), about 95% below the US East (N. Virginia) on-demand rate. 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

m9g.24xlarge gives you 96 vCPU and 384 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 6 nodes rather than one.

Spot runs as managed Kubernetes, so a 6-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 96 cores and 384 GiB in one process, it does not.

x86_64 onlym9g.24xlarge 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$4.696$1.407$0.246
$4.450 savings
US Central, Chicagono AWS region$0.246
US Central, Dallasno AWS region$0.306
Hong Kong$0.066
Sydney, Australia$5.870$1.134$0.966
$4.904 savings
London, UK$1.326
US West, San Jose$0.906
US Central, Dallas 2no AWS region$0.006
US East, N. Virginia 2$4.696$1.407$0.906
$3.790 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 384 GiB of RAM
  • ●Parallel work that can occupy 96 vCPU
  • ●Network-heavy services — AWS rates this size at 50 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 384 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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
m9g.24xlarge runs $3,428/mo on AWS on-demand. The 6-node equivalent on Rackspace Spot: $180/mo.
  • 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