Cloud instance guide

AWS p5.48xlarge Price Guide

This page records total instance and per-GPU pricing for the p5.48xlarge instance on AWS.

Catalogue observed

$98.32/hr
AWS on-demand instance price
8x
H100 SXM GPUs
$12.29/GPU/hr
On-demand cost per GPU

Instance details

CloudAWS
GPU8× H100 SXM
Memory per GPU80GB · verify per-device workload fit
On-demand$98.32/hr ($12.29/GPU/hr)
Spot$31.46/hr
vCPU / RAM192 / 2048GB
Regionus-east-1
Catalogue observed · confirm a current quote
Single-GPU on-demand H100 elsewhere$2.00/GPU/hr →

Alternative-provider rates cover single-GPU on-demand offers across this GPU family. They do not establish the cost of an equivalent instance or the same exact variant.

Is this the configuration your job needs?

The p5.48xlarge is a whole-instance purchase. Confirm that your job can use the attached GPUs and that its per-device memory, communication pattern and host-memory requirements match the configuration below. Idle devices remain part of the instance bill.

Establish a realistic job budget

Multiply the confirmed full-instance rate by billed runtime, then add separately charged storage and transfers where applicable. Use the per-GPU rate to normalize comparisons, not as the launch price. The region and observation date shown with the listing define the scope of the recorded rate.

Test the deployment path

Before a long run, verify quota and launch capacity in the intended region. Start the intended software image, load a representative data shard and measure peak memory and completed work. For distributed training, check that the framework uses the expected GPU communication path; for spot, test restart from a saved checkpoint.

Limitations

Catalogue specifications and prices describe a recorded configuration. They do not establish current capacity or a measured speedup for your application.

Before launching this instance

  1. Check per-device fit

    Verify memory and required precision for each GPU. Confirm that the framework can distribute the job across the attached devices; their combined memory is not automatically one usable pool.

  2. Check the full-instance bill

    Use the full instance rate even if some GPUs are idle. The per-GPU figure is a comparison, not a separate purchase price.

  3. Prove the launch path

    Verify the source date, current quote, region, quota and capacity. Load the intended image and dataset, run a bounded test, and release the instance when the test ends.

Frequently asked questions

Is the listed p5.48xlarge price for one GPU or the whole instance?

The total price applies to the exact instance configuration, while the per-GPU cost is calculated separately.

Does the recorded AWS region prove the instance is available now?

No. A catalogue region and observation date identify the recorded listing but do not establish live capacity or current availability.

Marlin beta

Find a suitable H100 configuration with Marlin

Marlin matches your workload to the lowest-priced suitable GPU across supported providers.

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