Instances›AWS EC2›p6e-gb200›p6e-gb200.36xlarge
Compute
vCPUs144
Memory960 GiB
Mem / vCPU6.67 GiB
ProcessorNVIDIA Grace
Clock speed3 GHz
Architecturex86_64
Storage
TypeEBS only
BandwidthN/A
ThroughputN/A
IOPS0
Networking
Performance1700 Gigabit
Max ENIsN/A
IPv6Yes
GPUNVIDIA B200
Family sizes
p6e-gb200.36xlarge144 vCPU · 960 GiB
p6e-gb200.36xlarge

The p6e-gb200.36xlarge is a GPU AWS EC2 instance: 144 vCPU and 960 GiB of memory, 6.67 GiB per vCPU. It runs on NVIDIA Grace at 3 GHz, and AWS introduced it in July 2025. Rackspace Spot has no equivalent to offer: 36 × NVIDIA B200 wired together behind a high-speed interconnect is one tightly coupled machine, not 36 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

p6e-gb200.36xlarge is 36 GPUs (6660 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
  • ●Video transcoding and image processing
  • ●Machine learning experimentation and fine-tuning
  • ●Remote graphics workstations and rendering
  • ●Workloads that fit inside 960 GiB of RAM
  • ●Parallel work that can occupy 144 vCPU
  • ●Network-heavy services — AWS rates this size at 1700 Gigabit
Avoid if
  • ●The working set needs more than 960 GiB of RAM
  • ●Anything the CPU can do fast enough. GPU hours are the most expensive on the price list.
  • ●More than 6.67 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 144 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
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.
Build your Cloudspace
Frequently asked questions