Instances›AWS EC2›c8gn›c8gn.metal-24xl
Compute
vCPUs96
Memory192 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth60,000 Mbps
Throughput7500 MB/s
IOPS240,000
Networking
Performance300 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
c8gn.medium1 vCPU · 2 GiB
c8gn.large2 vCPU · 4 GiB
c8gn.xlarge4 vCPU · 8 GiB
c8gn.2xlarge8 vCPU · 16 GiB
c8gn.4xlarge16 vCPU · 32 GiB
c8gn.8xlarge32 vCPU · 64 GiB
c8gn.12xlarge48 vCPU · 96 GiB
c8gn.16xlarge64 vCPU · 128 GiB
c8gn.24xlarge96 vCPU · 192 GiB
c8gn.metal-24xl96 vCPU · 192 GiB
c8gn.48xlarge192 vCPU · 384 GiB
c8gn.metal-48xl192 vCPU · 384 GiB
c8gn.metal-24xl

c8gn.metal-24xl is AWS's compute-optimized EC2 size at 96 vCPU and 192 GiB. In the name, "c" stands for compute, "8" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "metal-24xl" is the size within the c8gn family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in June 2025. AWS has since shipped c9g. The closest Spot shape is ch.vs1.2xlarge at 16 vCPU, so this instance maps to 6 of them — 96 vCPU and 192 GiB across the fleet, $5.69/hr on AWS in US East (N. Virginia), from $0.246/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 qualityScale-out match

c8gn.metal-24xl gives you 96 vCPU and 192 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 6 nodes rather than one.

Spot runs as managed Kubernetes, so a 6-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 96 cores and 192 GiB in one process, it does not.

x86_64 onlyc8gn.metal-24xl 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$5.688$0.918$0.246
$5.442 savings
US Central, Chicagono AWS region$0.066
US Central, Dallasno AWS region$0.666
Hong Kong$0.246
Sydney, Australia$0.246
London, UK$0.786
US West, San Jose$0.012
US Central, Dallas 2no AWS region$0.732
US East, N. Virginia 2$5.688$0.918$0.972
$4.716 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 192 GiB of RAM
  • ●Parallel work that can occupy 96 vCPU
  • ●Network-heavy services — AWS rates this size at 300 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 192 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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 96 vCPU would sit idle.
Stop overpaying AWS. This compute costs $4,152/mo on AWS vs $180/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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