Instances›AWS EC2›i8ge›i8ge.12xlarge
Compute
vCPUs48
Memory384 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
Type4 × 7,500 GB NVMe SSD
Bandwidth15,000 Mbps
Throughput1875 MB/s
IOPS60,000
Networking
Performance75 Gigabit
Max ENIs12
IPv6Yes
GPUNone
Family sizes
i8ge.large2 vCPU · 16 GiB
i8ge.xlarge4 vCPU · 32 GiB
i8ge.2xlarge8 vCPU · 64 GiB
i8ge.3xlarge12 vCPU · 96 GiB
i8ge.6xlarge24 vCPU · 192 GiB
i8ge.12xlarge48 vCPU · 384 GiB
i8ge.18xlarge72 vCPU · 576 GiB
i8ge.24xlarge96 vCPU · 768 GiB
i8ge.metal-24xl96 vCPU · 768 GiB
i8ge.48xlarge192 vCPU · 1536 GiB
i8ge.metal-48xl192 vCPU · 1536 GiB
i8ge.12xlarge

The i8ge.12xlarge is a storage-optimized AWS EC2 instance: 48 vCPU and 384 GiB of memory, 8.00 GiB per vCPU. In the name, "i" is I/O, meaning local storage, "8" is the generation, "ge" marks AWS Graviton (ARM) processors and extended capacity and "12xlarge" is the size within the i8ge family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in August 2025. i8ge is the current generation of the i family, so there is no newer AWS size to migrate to. No single Spot node covers 48 vCPU and 384 GiB, so the equivalent is a fleet: 3 × mh.vs1.2xlarge, 48 vCPU and 384 GiB in total, $5.70/hr on AWS in US East (N. Virginia), from $0.063/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

i8ge.12xlarge gives you 48 vCPU and 384 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 3 nodes rather than one.

Spot runs as managed Kubernetes, so a 3-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 48 cores and 384 GiB in one process, it does not.

x86_64 onlyi8ge.12xlarge 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.
No local diski8ge.12xlarge comes with 4 × 7,500 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$5.695$1.349$0.063
$5.632 savings
US Central, Chicagono AWS region$0.063
US Central, Dallasno AWS region$0.393
Hong Kong$7.522$0.063
$7.459 savings
Sydney, Australia$6.829$1.006$0.063
$6.766 savings
London, UK$6.628$1.673$0.393
$6.235 savings
US West, San Jose$0.006
US Central, Dallas 2no AWS region$0.726
When to use it
Good for
  • ●Transactional databases with heavy random I/O
  • ●Streaming ingest that spools to local disk
  • ●Elasticsearch and OpenSearch data nodes
  • ●Workloads that fit inside 384 GiB of RAM
  • ●Jobs that want 4 × 7,500 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
  • ●Anything that shards cleanly across 3 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
  • ●GPU or FPGA acceleration is needed
  • ●Workloads that never touch local disk. The instance-store premium is wasted.
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 48 vCPU would sit idle.
Stop overpaying AWS. This compute costs $4,157/mo on AWS vs $46/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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