FastGPU

co.fastgpuPublished by fastgpu.coOfficial publisherv1.0.1Updated Oct 25, 2026

Compare live GPU cloud rental prices and match workloads to the cheapest provider.

VerifiedStreamable HTTPWeb executableCloud & InfrastructureFinance

Overview

AI-generated overview

FastGPU lets an assistant compare live on-demand GPU cloud rental prices and match a workload to the cheapest GPU configurations.

What you can do
Compare GPU prices: list one entry per GPU model with its cheapest live on-demand hourly price, the provider offering it, and how many providers rent it, drawn from marketplaces, neoclouds and hyperscalers such as RunPod, Vast.ai, Lambda and AWS. Match workloads: rank up to eight GPU configurations that can run a job at the lowest live price, described either as a free-text query (a model to serve or fine-tune, a model size, or a GPU need) or with structured fields. Each match returns the GPU count, the hourly cost for the whole configuration and a short note.
When to use it
Useful when choosing where to rent GPUs for serving or fine-tuning an open-weight model, comparing on-demand hourly rates across providers, or estimating the cost of a multi-GPU configuration before committing.
Requirements
A remote streamable HTTP endpoint at fastgpu.co; no packages, environment variables or headers are declared. Network access to the endpoint is needed.
Before you install
Prices are live third-party figures and may change; treat them as informational before renting. The server only reads price and matching data, but any actual rental happens outside it, so spending is not controlled here.

Installation

In SourceWeft

  1. Open FastGPU in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/co.fastgpu%2Ffastgpu/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "fastgpu": {
      "type": "http",
      "url": "https://fastgpu.co/api/mcp"
    }
  }
}

Tools

2

list_gpu_prices

List cheapest GPU prices

One entry per GPU model with its cheapest live on-demand cloud rental price in USD per GPU-hour, the provider offering it, and how many providers rent it, from FastGPU's live price feed across marketplaces, neoclouds and hyperscalers (RunPod, Vast.ai, Lambda, AWS and more). Use it to compare GPU rental prices or to find where a named GPU is cheapest to rent. Each price is the provider's own per-GPU rate: cheapest_min_gpu_count says when it is only sold as a multi-GPU instance, and cheapest_billed_separately names what the provider bills on top of it (CPU, memory, storage), null when the rate includes CPU and memory. page_url links to the GPU's live price page with every offer. Rental prices only: it does not rent, reserve or launch GPUs. No key required.

Parameterstiervendor

match_workload

Match a workload to the cheapest GPU

Ranks up to eight GPU configurations that can run a job at the lowest live price. Describe the job in query (an open-weight model to serve or fine-tune, a model size, or a GPU need) or with the structured fields. Each match gives the GPU count, the USD per hour for the whole configuration and a one-line reason; the answer also states the VRAM the job needs and how much cheaper the top match is than a hyperscaler running the same job. Use it to decide where to run a workload; use list_gpu_prices for the price of a named GPU. Open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Between otherwise equal offers, a small disclosed tie-break favors providers that pay FastGPU a referral (each match reports partner). Hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) drop every configuration that breaks them; limits reports what was dropped. Read-only: it does not rent or launch GPUs. No key required.

Parametersspottaskmodelqueryregionvram_gbparams_breservedgpu_countprecisionweights_gbbudget_usd_hr+4 more

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.