Instances›AWS EC2›c5›c5.9xlarge
Compute
vCPUs36
Memory72 GiB
Mem / vCPU2.00 GiB
ProcessorXeon Platinum 8124M
Clock speed3.4 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth9,500 Mbps
Throughput1187.5 MB/s
IOPS40,000
Networking
Performance12 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
c5.large2 vCPU · 4 GiB
c5.xlarge4 vCPU · 8 GiB
c5.2xlarge8 vCPU · 16 GiB
c5.4xlarge16 vCPU · 32 GiB
c5.9xlarge36 vCPU · 72 GiB
c5.12xlarge48 vCPU · 96 GiB
c5.18xlarge72 vCPU · 144 GiB
c5.24xlarge96 vCPU · 192 GiB
c5.metal96 vCPU · 192 GiB
c5.9xlarge

The c5.9xlarge pairs 36 vCPU with 72 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "c" stands for compute, "5" is the generation and "9xlarge" is the size within the c5 family. It runs on Intel Xeon Platinum 8124M at 3.4 GHz, and AWS introduced it in November 2017. AWS has since shipped c6i, c7i, c8i and c9g. Spot's node ladder tops out below this size, so c5.9xlarge becomes 3 × ch.vs1.2xlarge (48 vCPU, 96 GiB combined), about 92% 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

c5.9xlarge gives you 36 vCPU and 72 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 3 nodes rather than one.

Spot runs as managed Kubernetes, so a 3-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 36 cores and 72 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$1.530$0.587$0.964$0.641$0.123
$1.407 savings
US Central, Chicagono AWS region$0.033
US Central, Dallasno AWS region$0.333
Hong Kong$1.944$1.225$0.840$0.123
$1.821 savings
Sydney, Australia$1.998$0.676$1.259$0.863$0.123
$1.875 savings
London, UK$1.818$0.366$1.145$0.785$0.393
$1.425 savings
US West, San Jose$1.908$0.879$1.202$0.824$0.005
$1.903 savings
US Central, Dallas 2no AWS region$0.305
US East, N. Virginia 2$1.530$0.587$0.964$0.641$0.405
$1.125 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 72 GiB of RAM
  • ●Parallel work that can occupy 36 vCPU
  • ●Network-heavy services — AWS rates this size at 12 Gigabit
  • ●Anything that shards cleanly across 3 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 72 GiB of RAM
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●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
  • ●The work is single-threaded. Most of these 36 vCPU would sit idle.
c5.9xlarge runs $1,117/mo on AWS on-demand. The 3-node equivalent on Rackspace Spot: $90/mo.
  • 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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