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ZeroGPU

Assess

Platforms

A Gradio/Hugging Face deployment option that allocates GPU resources on demand.

Why it's here

Placed in Assess: 2 article(s) of evidence from 1 source(s), led by open-source activity, with 0 in the last 30 days. Confidence 33%.

Evidence (2)

  • 6Hugging Face Blog·4/27/2026open_source
    Building scalable web apps with OpenAI Privacy Filter

    Hugging Face describes three web apps built around OpenAI's Privacy Filter, an open-source PII detector that can label eight categories of sensitive text in a single 128k-context pass. The examples show document highlighting, image redaction, and shareable redacted text flows implemented with gradio.Server and its queued backend endpoints. The post focuses on how the tool and Gradio can be combined for practical privacy-preserving web experiences.

  • 7Hugging Face Blog·4/1/2026framework_update
    Gradio Server enables custom frontends with Gradio backend

    Hugging Face introduced gradio.Server, which lets developers build custom web frontends in frameworks like React or plain HTML/JS while still using Gradio’s backend features. It combines FastAPI flexibility with Gradio capabilities such as queuing, concurrency control, SSE streaming, API support, gradio_client compatibility, and ZeroGPU on Spaces.