Instances›AWS EC2›c9gd›c9gd.metal-48xl
Compute
vCPUs192
Memory384 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
Type3 × 3,800 GB NVMe SSD
Bandwidth72,000 Mbps
Throughput9000 MB/s
IOPS288,000
Networking
Performance100 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
c9gd.medium1 vCPU · 2 GiB
c9gd.large2 vCPU · 4 GiB
c9gd.xlarge4 vCPU · 8 GiB
c9gd.2xlarge8 vCPU · 16 GiB
c9gd.4xlarge16 vCPU · 32 GiB
c9gd.8xlarge32 vCPU · 64 GiB
c9gd.12xlarge48 vCPU · 96 GiB
c9gd.16xlarge64 vCPU · 128 GiB
c9gd.24xlarge96 vCPU · 192 GiB
c9gd.48xlarge192 vCPU · 384 GiB
c9gd.metal-48xl192 vCPU · 384 GiB
c9gd.metal-48xl

The c9gd.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, "9" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "metal-48xl" is the size within the c9gd family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in June 2026. c9gd is the current generation of the c family, so there is no newer AWS size to migrate to. 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, about 95% 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

c9gd.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 onlyc9gd.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.
No local diskc9gd.metal-48xl comes with 3 × 3,800 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$10.253$2.046$0.492
$9.761 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$10.253$2.046$1.944
$8.309 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 384 GiB of RAM
  • ●Jobs that want 3 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 100 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
  • ●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.
  • ●GPU or FPGA acceleration is needed
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
$7,485/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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