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GPU Finder

Compares on-demand and spot cloud GPU prices, egress fees and stock levels across 31 providers for hourly-refreshed searches.

Actively maintained

At a glanceswept Oct 15, 2026

≈ 83visits/mo

Little sign of use · estimate, read Oct 15, 2026

For
Teams and developers choosing a cloud GPU provider by price, availability, region and egress fees.
Activity
Actively maintainedrelease 5 days ago · site updated 5 days ago
Runs as
API
Used for
  • compare hourly prices for H100 and H200 servers across providers
  • check GPU availability and regions before renting a machine
  • set price alerts for a shortlist of GPU models
read off gpufinder.dev on Oct 19, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 19, 2026

Price not read

How a program reaches itfound, not claimed · read Oct 19, 2026

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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All LLM operations tools →

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is GPU Finder?

    Compares on-demand and spot cloud GPU prices, egress fees and stock levels across 31 providers for hourly-refreshed searches. It is listed in the Atlas under LLM operations.

  • Who is GPU Finder for?

    Teams and developers choosing a cloud GPU provider by price, availability, region and egress fees.

  • Do people use GPU Finder?

    Little sign of use: ≈ 83 visits/mo · estimate, 2026-10.

  • Is GPU Finder still maintained?

    Actively maintained: release 5 days ago · site updated 5 days ago.

  • What are alternatives to GPU Finder?

    In LLM operations, by use: OpenRouter, LLM Stats, Lightning AI, Baseten, OmniRoute, GPUQuant.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk