Instances›AWS EC2›c8gb›c8gb.metal-48xl
Compute
vCPUs192
Memory384 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth300,000 Mbps
Throughput37500 MB/s
IOPS1,440,000
Networking
Performance400 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
c8gb.medium1 vCPU · 2 GiB
c8gb.large2 vCPU · 4 GiB
c8gb.xlarge4 vCPU · 8 GiB
c8gb.2xlarge8 vCPU · 16 GiB
c8gb.4xlarge16 vCPU · 32 GiB
c8gb.8xlarge32 vCPU · 64 GiB
c8gb.12xlarge48 vCPU · 96 GiB
c8gb.16xlarge64 vCPU · 128 GiB
c8gb.24xlarge96 vCPU · 192 GiB
c8gb.metal-24xl96 vCPU · 192 GiB
c8gb.48xlarge192 vCPU · 384 GiB
c8gb.metal-48xl192 vCPU · 384 GiB
c8gb.metal-48xl

The c8gb.metal-48xl is a compute-optimized AWS EC2 instance: 192 vCPU and 384 GiB of memory, 2.00 GiB per vCPU. In the name, "c" stands for compute, "8" is the generation, "gb" marks AWS Graviton (ARM) processors and block-storage optimisation and "metal-48xl" is the size within the c8gb family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in January 2026. AWS has since shipped c9g; c9g.metal-48xl is the direct replacement at this size, scoring 7,056,662 CoreMark/s against this instance's 3,725,262 — roughly 89% more throughput for the same vCPU count. No single Spot node covers 192 vCPU and 384 GiB, so the equivalent is a fleet: 12 × ch.vs1.2xlarge, 192 vCPU and 384 GiB in total, $11.38/hr on AWS in US East (N. Virginia), from $0.492/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

c8gb.metal-48xl gives you 192 vCPU and 384 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 12 nodes rather than one.

Spot runs as managed Kubernetes, so a 12-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 192 cores and 384 GiB in one process, it does not.

x86_64 onlyc8gb.metal-48xl 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$11.376$1.437$0.492
$10.884 savings
US Central, Chicagono AWS region$0.132
US Central, Dallasno AWS region$1.332
Hong Kong$0.492
Sydney, Australia$0.492
London, UK$1.572
US West, San Jose$0.024
US Central, Dallas 2no AWS region$1.464
US East, N. Virginia 2$11.376$1.437$1.944
$9.432 savings
When to use it
Good for
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Batch processing and CI/CD runners
  • ●Workloads that fit inside 384 GiB of RAM
  • ●Parallel work that can occupy 192 vCPU
  • ●Network-heavy services — AWS rates this size at 400 Gigabit
  • ●Anything that shards cleanly across 12 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 384 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 192 vCPU would sit idle.
$8,304/mo on AWS on-demand against $359/mo on Rackspace Spot for the 12-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.
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