Instance comparison

p5.48xlarge vs. p4d.24xlarge

This page compares recorded catalogue facts for the exact instances p5.48xlarge and p4d.24xlarge.

Catalogue observed

$98.32/hr
AWS p5.48xlarge
$32.77/hr
AWS p4d.24xlarge

Side-by-side pricing

Recorded on-demand full-instance rates. Confirm both checkout quotes before using this comparison for a budget.

p5.48xlargep4d.24xlarge
CloudAWSAWS
GPU8× H100 SXM8× A100 40GB
Memory per GPU80GB40GB
$/hr$98.32$32.77
$/GPU/hr$12.29$4.10
Regionus-east-1us-east-1
Catalogue observed
vCPU / RAM192 / 2048GB96 / 1152GB

Choose by the constraint that changes the job

These are two complete AWS instances, not interchangeable single-GPU rentals. Use the exact GPU, device count, host memory and region shown below to establish whether each can run the same workload. Confirm software support and the distributed communication path before comparing rental rates.

Compare completion cost, not just hourly price

Run the same model, precision, batch size and data on both feasible configurations. Record completed work, billed runtime and peak memory. Compute-only job cost is the full-instance rate multiplied by billed runtime. A higher-rate instance saves money only when its measured runtime reduction offsets that rate; a hardware specification does not prove that reduction.

Make the result operational

Check quota, capacity and the source observation date for both instances. Keep the purchase model consistent: an interruptible spot observation is not an equivalent on-demand quote. Include recovery time, storage and transfer charges in a deployment budget.

Limitations

The table contains catalogue observations, not current checkout quotes or an end-to-end benchmark. If only one configuration meets your workload requirements, a price ratio alone cannot justify switching.

A fair test of two complete instances

  1. Make both runs comparable

    Use the same dataset, software, precision and acceptance target. Record how many GPUs the application actually uses on each machine.

  2. Measure the break-even condition

    For equal compute-only job cost, the first instance's runtime divided by the second's must equal the second hourly rate divided by the first. Use measured billed durations and current full-instance quotes.

  3. Check operational differences

    Compare regions, quota, storage and transfer terms separately. If an instance fails the fit or deadline requirement, a favorable price ratio cannot make it a suitable substitute.

Frequently asked questions

Are total instance and per-GPU prices interchangeable for these two exact instances?

No. Each total price applies to the exact full instance configuration, while the per-GPU cost is calculated separately by distributing that total across the configuration's GPUs.

Do the recorded regions prove that either exact instance is available now?

No. Catalogue regions and observation dates describe recorded evidence, but they do not establish live capacity.

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