Instances›AWS EC2›c8id›c8id.16xlarge
Compute
vCPUs64
Memory128 GiB
Mem / vCPU2.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
Type1 × 3,800 GB NVMe SSD
Bandwidth20,000 Mbps
Throughput2500 MB/s
IOPS80,000
Networking
Performance30 Gigabit
Max ENIs16
IPv6Yes
GPUNone
Family sizes
c8id.large2 vCPU · 4 GiB
c8id.xlarge4 vCPU · 8 GiB
c8id.2xlarge8 vCPU · 16 GiB
c8id.4xlarge16 vCPU · 32 GiB
c8id.8xlarge32 vCPU · 64 GiB
c8id.12xlarge48 vCPU · 96 GiB
c8id.16xlarge64 vCPU · 128 GiB
c8id.24xlarge96 vCPU · 192 GiB
c8id.32xlarge128 vCPU · 256 GiB
c8id.48xlarge192 vCPU · 384 GiB
c8id.metal-48xl192 vCPU · 384 GiB
c8id.96xlarge384 vCPU · 768 GiB
c8id.metal-96xl384 vCPU · 768 GiB
c8id.16xlarge

c8id.16xlarge is AWS's compute-optimized EC2 size at 64 vCPU and 128 GiB. In the name, "c" stands for compute, "8" is the generation, "id" marks Intel processors and local NVMe storage and "16xlarge" is the size within the c8id family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in February 2026. AWS has since shipped c9g; c9g.16xlarge is the direct replacement at this size. The closest Spot shape is ch.vs1.2xlarge at 16 vCPU, so this instance maps to 4 of them — 64 vCPU and 128 GiB across the fleet, 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

c8id.16xlarge gives you 64 vCPU and 128 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 4 nodes rather than one.

Spot runs as managed Kubernetes, so a 4-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 64 cores and 128 GiB in one process, it does not.

No local diskc8id.16xlarge comes with 1 × 3,800 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$3.548$0.929$0.164
$3.384 savings
US Central, Chicagono AWS region$0.044
US Central, Dallasno AWS region$0.444
Hong Kong$0.164
Sydney, Australia$4.657$1.372$0.164
$4.493 savings
London, UK$0.524
US West, San Jose$0.008
US Central, Dallas 2no AWS region$0.488
US East, N. Virginia 2$3.548$0.929$0.648
$2.900 savings
When to use it
Good for
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Workloads that fit inside 128 GiB of RAM
  • ●Jobs that want 1 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 30 Gigabit
  • ●Anything that shards cleanly across 4 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 128 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 64 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
$2,590/mo on AWS on-demand against $120/mo on Rackspace Spot for the 4-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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