Instances›AWS EC2›x1›x1.32xlarge
Compute
vCPUs128
Memory1952 GiB
Mem / vCPU15.25 GiB
ProcessorHigh Frequency Intel Xeon E7-8880 v3
Clock speed2.3 GHz
Architecturex86_64
Storage
Type2 × 1,920 GB SSD
Bandwidth14,000 Mbps
Throughput1750 MB/s
IOPS80,000
Networking
Performance25 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
x1.16xlarge64 vCPU · 976 GiB
x1.32xlarge128 vCPU · 1952 GiB
x1.32xlarge

The x1.32xlarge pairs 128 vCPU with 1952 GiB of RAM, the 15.25 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "x" is the extra-memory line, "1" is the generation and "32xlarge" is the size within the x1 family. It runs on High Frequency Intel Xeon E7-8880 v3 (Haswell) at 2.3 GHz, and AWS introduced it in May 2016. AWS has since shipped x2gd and x8i; x2idn.32xlarge is the direct replacement at this size. Spot's node ladder tops out below this size, so x1.32xlarge becomes 14 × mh.vs1.2xlarge (224 vCPU, 1792 GiB combined), $13.34/hr on AWS in US East (N. Virginia), from $0.294/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

x1.32xlarge gives you 128 vCPU and 1,952 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 14 nodes rather than one.

Spot runs as managed Kubernetes, so a 14-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 128 cores and 1,952 GiB in one process, it does not.

No local diskx1.32xlarge comes with 2 × 1,920 GB 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$13.338$3.267$8.219$4.288$0.294
$13.044 savings
US Central, Chicagono AWS region$0.294
US Central, Dallasno AWS region$1.834
Hong Kong$21.276$13.110$6.839$0.294
$20.982 savings
Sydney, Australia$19.341$1.934$11.918$6.219$0.294
$19.047 savings
London, UK$16.806$1.681$10.357$5.402$1.834
$14.972 savings
US West, San Jose$0.028
US Central, Dallas 2no AWS region$3.388
When to use it
Good for
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Workloads that fit inside 1952 GiB of RAM
  • ●Jobs that want 2 × 1,920 GB of local SSD scratch space
  • ●Network-heavy services — AWS rates this size at 25 Gigabit
  • ●Anything that shards cleanly across 14 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. x2idn.32xlarge is the newer generation at this size.
  • ●The working set needs more than 1952 GiB of RAM
  • ●More than 15.25 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 128 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
$9,737/mo on AWS on-demand against $215/mo on Rackspace Spot for the 14-node equivalent — market-priced, not list-priced.
  • 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