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Screenshot of ZeroGPU

ZeroGPU

The compute efficient layer for AI inference

What is ZeroGPU, in two sentences

ZeroGPU is a the compute efficient layer for AI inference Provides dynamic, shared GPU compute for AI inference on Hugging Face Spaces.

What it does well

  • Provides dynamic, shared GPU compute for AI inference on Hugging Face Spaces.
  • Integrates with the Hugging Face ecosystem, supporting common model frameworks and Spaces deployments.
  • Runs entirely in the browser via web-based Hugging Face Spaces, requiring no local GPU hardware.
  • Eliminates idle GPU waste by allocating compute only when a Space is actively handling a request.

Where it falls short

  • Subject to queueing on the free tier, so inference latency can spike during periods of high demand.
  • Restricted to the Hugging Face Spaces environment, with limited ability to self-host outside that platform.
  • Category fit is loose: it is an inference/compute layer rather than a code-editing or agentic coding tool.

Tagged

  • Bring Your Own Key
  • Web-based
  • Free
  • Open Source

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Frequently asked questions

What is ZeroGPU?
ZeroGPU is a the compute efficient layer for AI inference
What platforms does ZeroGPU support?
ZeroGPU runs on web.
What category does ZeroGPU belong to?
ZeroGPU is in the AI Coding Agents category — Autonomous agents that write, edit, run, and review code. Includes CLI agents, agentic IDE add-ons, and code-review bots.
What are the downsides of ZeroGPU?
Subject to queueing on the free tier, so inference latency can spike during periods of high demand. Restricted to the Hugging Face Spaces environment, with limited ability to self-host outside that platform. Category fit is loose: it is an inference/compute layer rather than a code-editing or agentic coding tool.