Methodology

How a GPU rental price index works

GPUIndexes Research··2 min read
THE SHORT ANSWER

GPUIndexes takes each provider’s lowest eligible quote for a fixed GPU configuration, then publishes the median across at least three providers. This creates a reproducible reference without giving a larger provider more weight simply because it has more listings.

Start with the hardware and the terms

A useful comparison starts before the arithmetic. H100 PCIe and H100 SXM are different configurations. An hourly price for one GPU and the per-GPU share of an eight-GPU server describe different commitments. Mixing them can produce a number that no customer can actually use.

Our initial baskets fix the exact model, memory class, one GPU per instance, on-demand billing and USD currency. Listings must be reported available by a provider with live stock tracking, classified as secure, and recently observed. Spot, reserved and peer-to-peer offers are excluded. The methodology documents the remaining differences, including region, CPU, RAM and additional charges.

One provider contributes one floor

A raw average across all listings gives more influence to providers with more regions, sizes or duplicate offers. GPUIndexes first selects one floor for each provider: its lowest qualifying quote across the observed eligible configurations.

The median is the middle provider floor, or the average of the two middle floors when the count is even. This limits the influence of unusually high or low quotes without inventing an arbitrary price cutoff. The following is an illustrative calculation, not a market observation.

ProviderEligible prices in this exampleContribution
A$2, $2.50, $3 per hour$2
B$4 per hour$4
C$8, $9 per hour$8

What the reference tells you

The illustrative provider floors are $2, $4 and $8, so the reference is $4 per GPU-hour. That is neither the minimum price nor the average completed transaction. It describes the middle of the provider floors in the observed basket.

Because available providers can enter or leave the basket, a reference may move even when the remaining providers do not change their own prices. Always read the coverage count alongside the price. It is a market observation with a changing sample, not a constant-provider transaction index.

Coverage and missing observations matter

We require three distinct provider entries before publishing a reference. A smaller sample is shown as limited coverage, with the source quotes still available for inspection. An absent price is null, not zero.

The historical record begins when an observation is actually saved. We do not backfill the series from older mixed catalog data, interpolate missing days, or manufacture a seven-day change before a matching prior observation exists. Each archived record carries a capture timestamp and methodology version.

Check the observed rental market

These observations update separately from the guide. Use their capture timestamps when citing a price.

H100 SXM rental reference →

The current H100 SXM provider-floor median is $3.0910 per GPU-hour, based on 6 qualifying providers in the snapshot from Sep 16, 2026 at 21:59 UTC. The basket covers 80 GB and exactly one GPU per instance, with on-demand USD pricing.

H200 SXM rental reference →

No H200 SXM reference is published for the snapshot from Sep 16, 2026 at 21:59 UTC: 2 providers qualified, below the minimum of 3. The lowest observed provider quote was $3.5000 per GPU-hour. Quotes and coverage can change; a missing benchmark is not a zero price.

Common questions

Is the GPUIndexes reference the cheapest available GPU price?

No. It is the median of the lowest qualifying quote from each provider. The lowest observed quote and provider coverage are published separately.

Why is a reference missing when some providers have quotes?

A published reference requires at least three qualifying providers. One or two providers are labelled limited coverage; their quotes are still visible.

Sources & further reading

  1. GPUIndexes benchmark methodology
  2. GPUIndexes source quotes and daily data

Published by GPUIndexes, operated by Quanta Cloud LLC. Ownership, editorial policy and corrections.

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