Distributed GPU network

AI on the grid,
powered by your WebGPU.

Turn any browser with WebGPU into a cluster node. Share inference for LLM models — Host a model on your powerful workstation and access it securely from your phone, laptop, or let others connect to it.

Join the grid View available grid

Powered by WebGPU & Transformers.js · No GPU drivers to install · Open HTTP API

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Hosts online
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Hosts registered
Why join

Browser-native GPU sharing

Contribute spare GPU cycles from your workstation. Clients send images over HTTP; your browser runs the model and returns results — privately, on your hardware.

Instant local hosting

Open a tab, pick a model, and start hosting. RF-DETR and SmolVLM load in a Web Worker on WebGPU — no Python environment or driver setup.

Your data stays local

Inference runs on your GPU in the browser. Images are processed on your machine; nothing is sent to third-party AI APIs.

Universal HTTP API

Connect from curl, Python, Node, or any HTTP client. Simple JSON endpoints for detection and image description — queue and broker included.

Architecture

How the grid works

A lightweight Node broker coordinates tasks. Browser hosts stay connected via SSE and pull jobs when idle.

Register your node

Open the host page, choose a host id and model, then click Start hosting. Keep the tab open while you share GPU time.

Jobs arrive via SSE

The broker forwards detection and description tasks to your browser. One job runs at a time per host.

Anyone can call the API

Point clients at POST /v1/detect or /v1/describe with your host id. Results return as JSON.

API

Call the grid from anywhere

Use the cluster monitor to see online hosts and copy ready-made curl examples.

detect.sh POST /v1/detect 
curl -X POST 'http://localhost:5180/v1/detect' \
  -H 'Content-Type: application/json' \
  -d '{
    "host": "my-gpu-node",
    "image_url": "https://example.com/photo.jpg",
    "threshold": 0.5
  }'
Models

What you can host today

Models download from Hugging Face on first load. Pick one per host session.

Detection

RF-DETR Medium

Real-time object detection (COCO) via ONNX on WebGPU. Endpoint: POST /v1/detect

Vision-language

SmolVLM-500M

Describe images with a compact VLM on WebGPU. Endpoint: POST /v1/describe

Ready to power the grid?

Share your GPU or explore nodes already online.

Join the grid View available grid