Instances›AWS EC2›i3en›i3en.24xlarge
Compute
vCPUs96
Memory768 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Platinum 8175
Clock speed3.1 GHz
Architecturex86_64
Storage
Type8 × 7,500 GB NVMe SSD
Bandwidth19,000 Mbps
Throughput2375 MB/s
IOPS80,000
Networking
Performance100 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
i3en.large2 vCPU · 16 GiB
i3en.xlarge4 vCPU · 32 GiB
i3en.2xlarge8 vCPU · 64 GiB
i3en.3xlarge12 vCPU · 96 GiB
i3en.6xlarge24 vCPU · 192 GiB
i3en.12xlarge48 vCPU · 384 GiB
i3en.24xlarge96 vCPU · 768 GiB
i3en.metal96 vCPU · 768 GiB
i3en.24xlarge

The i3en.24xlarge is a storage-optimized AWS EC2 instance: 96 vCPU and 768 GiB of memory, 8.00 GiB per vCPU. In the name, "i" is I/O, meaning local storage, "3" is the generation, "en" marks extended capacity and enhanced networking and "24xlarge" is the size within the i3en family. It runs on Intel Xeon Platinum 8175 at 3.1 GHz, and AWS introduced it in May 2019. AWS has since shipped i4i, i7i and i8g; i4i.24xlarge is the direct replacement at this size, scoring 1,713,980 CoreMark/s against this instance's 1,364,606 — roughly 26% more throughput for the same vCPU count. No single Spot node covers 96 vCPU and 768 GiB, so the equivalent is a fleet: 6 × mh.vs1.2xlarge, 96 vCPU and 768 GiB in total, $10.85/hr on AWS in US East (N. Virginia), from $0.126/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

i3en.24xlarge gives you 96 vCPU and 768 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 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 768 GiB in one process, it does not.

No local diski3en.24xlarge comes with 8 × 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$10.848$3.048$7.388$4.720$0.126
$10.722 savings
US Central, Chicagono AWS region$0.126
US Central, Dallasno AWS region$0.786
Hong Kong$14.319$9.792$6.233$0.126
$14.193 savings
Sydney, Australia$13.008$1.855$8.895$5.662$0.126
$12.882 savings
London, UK$12.624$1.576$8.630$5.486$0.786
$11.838 savings
US West, San Jose$12.000$2.018$8.196$5.215$0.012
$11.988 savings
US Central, Dallas 2no AWS region$1.452
When to use it
Good for
  • ●Data warehousing and log processing
  • ●Distributed file systems and search indexes
  • ●Transactional databases with heavy random I/O
  • ●Workloads that fit inside 768 GiB of RAM
  • ●Jobs that want 8 × 7,500 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 100 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. i4i.24xlarge is the newer generation at this size.
  • ●The working set needs more than 768 GiB of RAM
  • ●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 96 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $7,919/mo on AWS vs $92/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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