Instances›AWS EC2›i7ie›i7ie.18xlarge
Compute
vCPUs72
Memory576 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Scalable
Clock speed3.2 GHz
Architecturex86_64
Storage
Type6 × 7,500 GB NVMe SSD
Bandwidth22,500 Mbps
Throughput2812.5 MB/s
IOPS90,000
Networking
Performance75 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
i7ie.large2 vCPU · 16 GiB
i7ie.xlarge4 vCPU · 32 GiB
i7ie.2xlarge8 vCPU · 64 GiB
i7ie.3xlarge12 vCPU · 96 GiB
i7ie.6xlarge24 vCPU · 192 GiB
i7ie.12xlarge48 vCPU · 384 GiB
i7ie.18xlarge72 vCPU · 576 GiB
i7ie.24xlarge96 vCPU · 768 GiB
i7ie.metal-24xl96 vCPU · 768 GiB
i7ie.48xlarge192 vCPU · 1536 GiB
i7ie.metal-48xl192 vCPU · 1536 GiB
i7ie.18xlarge

The i7ie.18xlarge pairs 72 vCPU with 576 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a storage-optimized instance. In the name, "i" is I/O, meaning local storage, "7" is the generation, "ie" marks Intel processors and extended capacity and "18xlarge" is the size within the i7ie family. It runs on Intel Xeon Scalable (Emerald Rapids) at 3.2 GHz, and AWS introduced it in December 2024. AWS has since shipped i8g; i8ge.18xlarge is the direct replacement at this size, scoring 2,161,026 CoreMark/s against this instance's 1,694,317 — roughly 28% more throughput for the same vCPU count. Spot's node ladder tops out below this size, so i7ie.18xlarge becomes 5 × mh.vs1.2xlarge (80 vCPU, 640 GiB combined), $9.36/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

i7ie.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.

No local diski7ie.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$9.356$2.610$0.105
$9.251 savings
US Central, Chicagono AWS region$0.105
US Central, Dallasno AWS region$0.655
Hong Kong$12.351$0.105
$12.245 savings
Sydney, Australia$11.219$3.307$0.105
$11.114 savings
London, UK$10.888$1.146$0.655
$10.233 savings
US West, San Jose$10.350$1.163$0.009
$10.341 savings
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 75 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
  • ●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.
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $6,830/mo on AWS vs $77/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.
Build your Cloudspace
Frequently asked questions