volunteer-computing

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Open-source software for volunteer computing and grid computing.

A crowdsourced distributed cluster for AI art and text generation

Distributed Stockfish analysis for lichess.org

💬 Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client

The default client software to create images for the AI-Horde

A Docker multi-container application that runs a BOINC server

The open source grid computing solution

MobileNet on TensorFlow.js - label images from Unsplash in browser

Distributing your code(soul), in almost any language(state), among a cluster of idle browsers(voids)

Computation offloading is a technique to circumvent device restrictions and bring novel, computationally-intensive applications to a heterogeneous and diverse device landscape. Wasimoff is a novel framework for general computation offloading for modern pervasive web browsers using the WebAssembly bytecode format for tasks.

Distributed computing for the browser

Distributed Volunteer Computing with IOT

A curated list of awesome projects, platforms, and resources related to volunteer computing — the practice of donating idle computing power to help solve real-world scientific and humanitarian problems.

Distributed computing in Node.js and JavaScript

Distributed infrastructure for PyTorch models.

A framework to set up distributed algorithms via HTTP, HTML and Javascript, based on NodeJS and Express.

A rust implementation for ZVMS 4 Backend (developing), using axum, mongodb, etc.