Instances›AWS EC2›c6id›c6id.32xlarge
Compute
vCPUs128
Memory256 GiB
Mem / vCPU2.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type4 × 1,900 GB NVMe SSD
Bandwidth40,000 Mbps
Throughput5000 MB/s
IOPS160,000
Networking
Performance50 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
c6id.large2 vCPU · 4 GiB
c6id.xlarge4 vCPU · 8 GiB
c6id.2xlarge8 vCPU · 16 GiB
c6id.4xlarge16 vCPU · 32 GiB
c6id.8xlarge32 vCPU · 64 GiB
c6id.12xlarge48 vCPU · 96 GiB
c6id.16xlarge64 vCPU · 128 GiB
c6id.24xlarge96 vCPU · 192 GiB
c6id.32xlarge128 vCPU · 256 GiB
c6id.metal128 vCPU · 256 GiB
c6id.32xlarge

The c6id.32xlarge pairs 128 vCPU with 256 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "c" stands for compute, "6" is the generation, "id" marks Intel processors and local NVMe storage and "32xlarge" is the size within the c6id family. It runs on Intel Xeon 8375C (Ice Lake) at 3.5 GHz, and AWS introduced it in May 2022. AWS has since shipped c7i, c8id and c9g; c7a.32xlarge is the direct replacement at this size. Spot's node ladder tops out below this size, so c6id.32xlarge becomes 8 × ch.vs1.2xlarge (128 vCPU, 256 GiB combined), about 95% below the US East (N. Virginia) on-demand rate. 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

c6id.32xlarge gives you 128 vCPU and 256 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 8 nodes rather than one.

Spot runs as managed Kubernetes, so a 8-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 256 GiB in one process, it does not.

No local diskc6id.32xlarge comes with 4 × 1,900 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$6.451$1.563$4.066$2.696$0.328
$6.123 savings
US Central, Chicagono AWS region$0.088
US Central, Dallasno AWS region$0.888
Hong Kong$0.328
Sydney, Australia$8.467$2.959$5.334$3.658$0.328
$8.139 savings
London, UK$7.728$1.816$4.869$3.338$1.048
$6.680 savings
US West, San Jose$0.016
US Central, Dallas 2no AWS region$0.976
US East, N. Virginia 2$6.451$1.563$4.066$2.696$1.296
$5.155 savings
When to use it
Good for
  • ●High-traffic web and API serving
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●Workloads that fit inside 256 GiB of RAM
  • ●Jobs that want 4 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 50 Gigabit
  • ●Anything that shards cleanly across 8 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. c7a.32xlarge is the newer generation at this size.
  • ●The working set needs more than 256 GiB of RAM
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
  • ●More than 2.00 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
$4,709/mo on AWS on-demand against $239/mo on Rackspace Spot for the 8-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.
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