Head to head

A100 SXM vs A100 PCIe

A100 SXM and A100 PCIe side by side: published specs, and what each one actually rents for per GPU-hour on the clouds this index tracks.

Prices last collected 2026-10-26 04:30 UTC.

Quick verdict

A100 PCIe is currently about $0.7741 per GPU-hour cheaper than A100 SXM — roughly 74% less.

Specifications side by side

Published specifications for A100 SXM and A100 PCIe (vendor data)
Attribute A100 SXM A100 PCIe
Memory 80 GB 40 GB
Architecture Ampere Ampere
Memory bandwidth 2.0 TB/s 1.55 TB/s
Dense FP16 throughput 312 TFLOPS* 312 TFLOPS*

Vendor-published figures, with sparsity where the vendor states it. Always confirm on the official datasheet before sizing a cluster.

What actually differs

  • More memory per card: A100 SXM at 80 GB against 40 GB.
  • Higher memory bandwidth: A100 SXM at 2.0 TB/s.
  • A100 SXM is Ampere-generation silicon, A100 PCIe is Ampere.
  • Cheaper on the price table today: A100 PCIe from $0.2681 per GPU-hour.

Frequently asked questions

Everything about renting cloud GPUs, affiliate tracking and how we collect pricing data.

How is the cheaper provider decided?

For every GPU model both providers list, we compare the normalised single-GPU hourly price. The average of those unit prices is shown for each side, and the lower one is labelled cheaper. We deliberately exclude models only one of the two offers, because that is not a like-for-like comparison.

Does the cheaper option always make sense?

Not always. Marketplace capacity can be reclaimed at short notice and its hosts vary in network and disk performance, while a dedicated cloud gives more predictable throughput. For multi-node training, interconnect and NVLink support usually matter more than a few cents per hour.

Are spot prices directly comparable between providers?

Only roughly. Each platform defines interruption rules, notice periods and reclaim behaviour differently. Treat spot prices as an indication of the cheapest achievable rate, not as a guaranteed price.

Why do you show per-hour rather than per-month prices?

Most providers bill by the second or the hour, and per-hour figures are the only ones that can be compared without guessing how many hours you will actually run. Use the GPU cost estimator to convert an hourly rate into a monthly budget.

Volume buyers

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  • Useful for reserved clusters, multi-month commitments and data-residency requirements

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