Instances›AWS EC2›p5e›p5e.48xlarge
Compute
vCPUs192
Memory2048 GiB
Mem / vCPU10.67 GiB
ProcessorEPYC 7R13 Processor
Clock speed2.95 GHz
Architecturex86_64
Storage
Type8 × 3,800 GB NVMe SSD
Bandwidth80,000 Mbps
Throughput10000 MB/s
IOPS260,000
Networking
Performance3200 Gigabit
Max ENIs64
IPv6Yes
GPUNVIDIA H200
Family sizes
p5e.48xlarge192 vCPU · 2048 GiB
p5e.48xlarge

p5e.48xlarge is AWS's GPU EC2 size at 192 vCPU and 2048 GiB. In the name, "p" is accelerated computing, "5" is the generation, "e" marks extended capacity and "48xlarge" is the size within the p5e family. It runs on AMD EPYC 7R13 Processor at 2.95 GHz, and AWS introduced it in September 2024. p5e is the current generation of the p family, so there is no newer AWS size to migrate to. Rackspace Spot has no equivalent to offer: 8 × NVIDIA H200 wired together behind a high-speed interconnect is one tightly coupled machine, not 8 independent nodes — and that interconnect is usually what the instance was bought for. Spot's largest VM tops out at 16 vCPU and 128 GiB, and even that is not the missing piece here. The table below prices what AWS charges; the honest answer on the Spot side is that this workload stays where it is.

Match qualityNo equivalent

p5e.48xlarge is 8 Hopper, Hopper, Hopper, Hopper, Hopper, Hopper, Hopper, Hopper GPUs (1128 GiB VRAM) wired together inside one chassis. The interconnect is what you bought — that is what makes it one accelerator with pooled memory rather than several machines — and Rackspace Spot has nothing that reproduces it. The Spot GPU class is built on the NVIDIA A30 (Ampere, 24 GB VRAM), and separate nodes of it on ordinary datacentre networking are not a substitute for a single interconnect-joined node.

Split the job across independent single-GPU nodes only if it is data-parallel with no per-step synchronisation and the model fits one card. Model-parallel work, or anything synchronising gradients every step, does not survive the move. Rackspace Spot sells x86_64 Kubernetes nodes up to 16 vCPU, plus one NVIDIA A30 GPU class.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia
US Central, Chicagono AWS region
US Central, Dallasno AWS region
Hong Kong
Sydney, Australia
London, UK
US West, San Jose
US Central, Dallas 2no AWS region
US East, N. Virginia 2
When to use it
Good for
  • ●Remote graphics workstations and rendering
  • ●CUDA-accelerated batch jobs
  • ●Model inference and embedding generation
  • ●Workloads that fit inside 2048 GiB of RAM
  • ●Jobs that want 8 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 3200 Gigabit
Avoid if
  • ●The working set needs more than 2048 GiB of RAM
  • ●More than 10.67 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.
  • ●Anything the CPU can do fast enough. GPU hours are the most expensive on the price list.
Rackspace Spot sells spare capacity at market prices. You pay what the market decides, not a list price.
  • 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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