Instances›AWS EC2›c7a›c7a.16xlarge
Compute
vCPUs64
Memory128 GiB
Mem / vCPU2.00 GiB
ProcessorEPYC 9R14 Processor
Clock speedUp to 3.7 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth20,000 Mbps
Throughput2500 MB/s
IOPS80,000
Networking
Performance25 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
c7a.medium1 vCPU · 2 GiB
c7a.large2 vCPU · 4 GiB
c7a.xlarge4 vCPU · 8 GiB
c7a.2xlarge8 vCPU · 16 GiB
c7a.4xlarge16 vCPU · 32 GiB
c7a.8xlarge32 vCPU · 64 GiB
c7a.12xlarge48 vCPU · 96 GiB
c7a.16xlarge64 vCPU · 128 GiB
c7a.24xlarge96 vCPU · 192 GiB
c7a.32xlarge128 vCPU · 256 GiB
c7a.48xlarge192 vCPU · 384 GiB
c7a.metal-48xl192 vCPU · 384 GiB
c7a.16xlarge

The c7a.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, "7" is the generation, "a" marks AMD processors and "16xlarge" is the size within the c7a family. It runs on AMD EPYC 9R14 Processor at Up to 3.7 GHz, and AWS introduced it in October 2023. AWS has since shipped c8a and c9g; c8a.16xlarge is the direct replacement at this size, scoring 2,600,921 CoreMark/s against this instance's 2,015,219 — roughly 29% more throughput for the same vCPU count. 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

c7a.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.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$3.284$0.928$2.173$1.446$0.164
$3.120 savings
US Central, Chicagono AWS region$0.044
US Central, Dallasno AWS region$0.444
Hong Kong$0.164
Sydney, Australia$0.164
London, UK$3.903$1.138$2.576$1.774$0.524
$3.379 savings
US West, San Jose$4.096$0.961$2.705$1.862$0.008
$4.088 savings
US Central, Dallas 2no AWS region$0.488
US East, N. Virginia 2$3.284$0.928$2.173$1.446$0.648
$2.636 savings
When to use it
Good for
  • ●Video encoding and transcoding
  • ●High-traffic web and API serving
  • ●Scientific modelling and simulation
  • ●Workloads that fit inside 128 GiB of RAM
  • ●Parallel work that can occupy 64 vCPU
  • ●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. c8a.16xlarge is the newer generation at this size.
  • ●The working set needs more than 128 GiB of RAM
  • ●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.
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $2,398/mo on AWS vs $120/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.
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