Parallax by Gradient
Host LLMs across devices sharing GPU to make your AI go brrr
Parallax by Gradient launched on October 29, 2025 with 334 votes, #67 of 8,178 launches that month and more than 95% of that year's launches.
In plain words
Parallax is an open-source platform that enables users to build distributed AI clusters by pooling GPU resources across multiple devices to run large language models. It allows anyone to combine computing power from different machines regardless of their specifications or physical location, making it easier to deploy and run capable AI models locally without requiring a single powerful computer.
written from the facts on this page · September 2026
From the sources
Your local AI just leveled up to multiplayer. Parallax is the easiest way to build your own AI cluster to run the best large language models across devices, no matter their specs or location.
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere - GradientHQ/parallax
A fully decentralized inference engine developed by Gradient . Parallax lets you build your own AI cluster for model inference onto a set of distributed nodes despite their varying configuration and physical location. Its core features include: git clone https://github.com/GradientHQ/parallax.git cd parallax ./install.sh source .venv/bin/activate parallax serve -m Qwen/Qwen3.5-0.8B Contributing We warmly welcome contributions of all kinds! For guidelines on how to get involved, please refer to our Contributing Guidefrom github.com
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