Instances›AWS EC2›c6gn›c6gn.12xlarge
Compute
vCPUs48
Memory96 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth28,500 Mbps
Throughput3562.5 MB/s
IOPS120,000
Networking
Performance75 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
c6gn.medium1 vCPU · 2 GiB
c6gn.large2 vCPU · 4 GiB
c6gn.xlarge4 vCPU · 8 GiB
c6gn.2xlarge8 vCPU · 16 GiB
c6gn.4xlarge16 vCPU · 32 GiB
c6gn.8xlarge32 vCPU · 64 GiB
c6gn.12xlarge48 vCPU · 96 GiB
c6gn.16xlarge64 vCPU · 128 GiB
c6gn.metal64 vCPU · 128 GiB
c6gn.12xlarge

The c6gn.12xlarge pairs 48 vCPU with 96 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, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "12xlarge" is the size within the c6gn family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in December 2020. AWS has since shipped c7gn, c8gn and c9g; c7gn.12xlarge is the direct replacement at this size. Spot's node ladder tops out below this size, so c6gn.12xlarge becomes 3 × ch.vs1.2xlarge (48 vCPU, 96 GiB combined), about 94% 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

c6gn.12xlarge gives you 48 vCPU and 96 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 48 cores and 96 GiB in one process, it does not.

x86_64 onlyc6gn.12xlarge is Graviton (arm64) and Rackspace Spot has no arm64 nodes, so you'd be moving to x86. You'll need x86 builds of your images, and per-core speed differs between the chips — worth testing before you decide how many nodes to run.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$2.074$0.522$1.309$0.890$0.123
$1.951 savings
US Central, Chicagono AWS region$0.033
US Central, Dallasno AWS region$0.333
Hong Kong$2.748$1.726$1.270$0.123
$2.625 savings
Sydney, Australia$2.712$0.659$1.714$1.257$0.123
$2.589 savings
London, UK$2.460$0.297$1.550$1.231$0.393
$2.067 savings
US West, San Jose$2.592$0.416$1.638$1.231$0.006
$2.586 savings
US Central, Dallas 2no AWS region$0.366
US East, N. Virginia 2$2.074$0.522$1.309$0.890$0.486
$1.588 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 96 GiB of RAM
  • ●Parallel work that can occupy 48 vCPU
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
  • ●Anything that shards cleanly across 3 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. c7gn.12xlarge is the newer generation at this size.
  • ●The working set needs more than 96 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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.
$1,514/mo on AWS on-demand against $90/mo on Rackspace Spot for the 3-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.
Build your Cloudspace
Frequently asked questions