Instances›AWS EC2›i8ge›i8ge.18xlarge
Compute
vCPUs72
Memory576 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
Type6 × 7,500 GB NVMe SSD
Bandwidth22,500 Mbps
Throughput2812.5 MB/s
IOPS90,000
Networking
Performance112.5 Gigabit
Max ENIs16
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.18xlarge

i8ge.18xlarge is AWS's storage-optimized EC2 size at 72 vCPU and 576 GiB. In the name, "i" is I/O, meaning local storage, "8" is the generation, "ge" marks AWS Graviton (ARM) processors and extended capacity and "18xlarge" 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. The closest Spot shape is mh.vs1.2xlarge at 16 vCPU, so this instance maps to 5 of them — 80 vCPU and 640 GiB across the fleet, $8.54/hr on AWS in US East (N. Virginia), from $0.105/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.18xlarge gives you 72 vCPU and 576 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 5 nodes rather than one.

Spot runs as managed Kubernetes, so a 5-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 72 cores and 576 GiB in one process, it does not.

x86_64 onlyi8ge.18xlarge 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.18xlarge comes with 6 × 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$8.543$1.556$0.105
$8.438 savings
US Central, Chicagono AWS region$0.105
US Central, Dallasno AWS region$0.655
Hong Kong$11.283$0.105
$11.178 savings
Sydney, Australia$10.244$1.580$0.105
$10.139 savings
London, UK$9.941$1.565$0.655
$9.286 savings
US West, San Jose$0.009
US Central, Dallas 2no AWS region$1.089
When to use it
Good for
  • ●NoSQL stores such as Cassandra, ScyllaDB and MongoDB
  • ●Data warehousing and log processing
  • ●Distributed file systems and search indexes
  • ●Workloads that fit inside 576 GiB of RAM
  • ●Jobs that want 6 × 7,500 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 112.5 Gigabit
  • ●Anything that shards cleanly across 5 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 576 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 72 vCPU would sit idle.
i8ge.18xlarge runs $6,236/mo on AWS on-demand. The 5-node equivalent on Rackspace Spot: $77/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.
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