Instances›AWS EC2›c6id›c6id.16xlarge
Compute
vCPUs64
Memory128 GiB
Mem / vCPU2.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type2 × 1,900 GB NVMe SSD
Bandwidth20,000 Mbps
Throughput2500 MB/s
IOPS80,000
Networking
Performance25 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.16xlarge

The c6id.16xlarge is a compute-optimized AWS EC2 instance: 64 vCPU and 128 GiB of memory, 2.00 GiB per vCPU. In the name, "c" stands for compute, "6" is the generation, "id" marks Intel processors and local NVMe storage and "16xlarge" 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; c7i.16xlarge is the direct replacement at this size. No single Spot node covers 64 vCPU and 128 GiB, so the equivalent is a fleet: 4 × ch.vs1.2xlarge, 64 vCPU and 128 GiB in total, 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.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 diskc6id.16xlarge comes with 2 × 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$3.226$3.179$2.033$1.348$0.164
$3.062 savings
US Central, Chicagono AWS region$0.044
US Central, Dallasno AWS region$0.444
Hong Kong$0.164
Sydney, Australia$4.234$1.977$2.667$1.829$0.164
$4.070 savings
London, UK$3.864$1.211$2.434$1.669$0.524
$3.340 savings
US West, San Jose$0.008
US Central, Dallas 2no AWS region$0.488
US East, N. Virginia 2$3.226$3.179$2.033$1.348$0.648
$2.578 savings
When to use it
Good for
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Batch processing and CI/CD runners
  • ●Workloads that fit inside 128 GiB of RAM
  • ●Jobs that want 2 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 25 Gigabit
  • ●Anything that shards cleanly across 4 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. c7i.16xlarge is the newer generation at this size.
  • ●The working set needs more than 128 GiB of RAM
  • ●The work is single-threaded. Most of these 64 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●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
$2,355/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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