Instances›AWS EC2›c7gn›c7gn.metal
Compute
vCPUs64
Memory128 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton3 Processor
Clock speed2.6 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth40,000 Mbps
Throughput5000 MB/s
IOPS160,000
Networking
Performance200 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
c7gn.medium1 vCPU · 2 GiB
c7gn.large2 vCPU · 4 GiB
c7gn.xlarge4 vCPU · 8 GiB
c7gn.2xlarge8 vCPU · 16 GiB
c7gn.4xlarge16 vCPU · 32 GiB
c7gn.8xlarge32 vCPU · 64 GiB
c7gn.12xlarge48 vCPU · 96 GiB
c7gn.16xlarge64 vCPU · 128 GiB
c7gn.metal64 vCPU · 128 GiB
c7gn.metal

c7gn.metal is AWS's compute-optimized EC2 size at 64 vCPU and 128 GiB. In the name, "c" stands for compute, "7" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "metal" is the size within the c7gn family. It runs on AWS Graviton3 Processor at 2.6 GHz, and AWS introduced it in March 2024. AWS has since shipped c8gn and c9g. 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, $3.99/hr on AWS in US East (N. Virginia), from $0.164/hr on Rackspace Spot. 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 qualityVirtualised, not bare metal

c7gn.metal is a full physical server — no virtualisation layer in the way, direct access to the hardware, and a socket count that licensing can verify.

Rackspace Spot no longer sells bare metal; everything in the catalog is a virtual machine. You get the same cores and memory (4 × ch.vs1.2xlarge, 64 vCPU, 128 GiB), but not the dedicated hardware. If you picked c7gn.metal because you needed the real machine — nested virtualisation, per-socket licensing, low-level profiling — this is not a replacement at any price. If you picked it because it is the biggest c7gn, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 64 vCPU; the largest comparable one has 16. So this runs as 4 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
x86_64 onlyc7gn.metal 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$3.994$0.567$2.516$1.449$0.164
$3.830 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$4.736$2.979$2.005$0.524
$4.212 savings
US West, San Jose$0.008
US Central, Dallas 2no AWS region$0.488
US East, N. Virginia 2$3.994$0.567$2.516$1.449$0.648
$3.346 savings
When to use it
Good for
  • ●Batch processing and CI/CD runners
  • ●Video encoding and transcoding
  • ●High-traffic web and API serving
  • ●Workloads that fit inside 128 GiB of RAM
  • ●Parallel work that can occupy 64 vCPU
  • ●Network-heavy services — AWS rates this size at 200 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
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●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.
Stop overpaying AWS. This compute costs $2,915/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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