Instances›AWS EC2›c5d›c5d.metal
Compute
vCPUs96
Memory192 GiB
Mem / vCPU2.00 GiB
ProcessorXeon Platinum 8275L
Clock speed3.4 GHz
Architecturex86_64
Storage
Type4 × 900 GB NVMe SSD
Bandwidth19,000 Mbps
Throughput2375 MB/s
IOPS80,000
Networking
Performance25 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
c5d.large2 vCPU · 4 GiB
c5d.xlarge4 vCPU · 8 GiB
c5d.2xlarge8 vCPU · 16 GiB
c5d.4xlarge16 vCPU · 32 GiB
c5d.9xlarge36 vCPU · 72 GiB
c5d.12xlarge48 vCPU · 96 GiB
c5d.18xlarge72 vCPU · 144 GiB
c5d.24xlarge96 vCPU · 192 GiB
c5d.metal96 vCPU · 192 GiB
c5d.metal

c5d.metal is AWS's compute-optimized EC2 size at 96 vCPU and 192 GiB. In the name, "c" stands for compute, "5" is the generation, "d" marks local NVMe storage and "metal" is the size within the c5d family. It runs on Intel Xeon Platinum 8275L at 3.4 GHz, and AWS introduced it in November 2019. AWS has since shipped c6i, c7i, c8i and c9g; c6i.metal is the direct replacement at this size. 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, 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 qualityVirtualised, not bare metal

c5d.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 (6 × ch.vs1.2xlarge, 96 vCPU, 192 GiB), but not the dedicated hardware. If you picked c5d.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 c5d, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 96 vCPU; the largest comparable one has 16. So this runs as 6 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
No local diskc5d.metal comes with 4 × 900 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$4.608$1.403$2.903$1.935$0.246
$4.362 savings
US Central, Chicagono AWS region$0.066
US Central, Dallasno AWS region$0.666
Hong Kong$0.246
Sydney, Australia$6.048$1.940$3.810$2.613$0.246
$5.802 savings
London, UK$5.520$1.698$3.478$2.385$0.786
$4.734 savings
US West, San Jose$5.760$1.612$3.629$2.488$0.012
$5.748 savings
US Central, Dallas 2no AWS region$0.732
US East, N. Virginia 2$4.608$1.403$2.903$1.935$0.972
$3.636 savings
When to use it
Good for
  • ●Game servers and matchmaking
  • ●Batch processing and CI/CD runners
  • ●Video encoding and transcoding
  • ●Workloads that fit inside 192 GiB of RAM
  • ●Jobs that want 4 × 900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 25 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. c6i.metal is the newer generation at this size.
  • ●The working set needs more than 192 GiB of RAM
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●The work is single-threaded. Most of these 96 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
c5d.metal runs $3,364/mo on AWS on-demand. The 6-node equivalent on Rackspace Spot: $180/mo.
  • 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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