README.md

June 26, 2026 ยท View on GitHub

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Parallax by Gradient - Host LLMs across devices sharing GPU to make your AI go brrr | Product Hunt

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News

  • [2026/02] ๐Ÿฆž Parallax now supports OpenClaw integration! See Docs
  • [2025/10] ๐Ÿ”ฅ Parallax won #1 Product of The Day on Product Hunt!
  • [2025/10] ๐Ÿ”ฅ Parallax version 0.0.1 has been released!

About

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:

  • Host local LLM on personal devices
  • Cross-platform support
  • Pipeline parallel model sharding
  • Paged KV cache management & continuous batching for Mac
  • Dynamic request scheduling and routing for high performance

The backend architecture:

User Guide

Quick Install

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 Guide.

Supported Models

ProviderHuggingFace CollectionBlogDescription
DeepSeekDeepseekDeepSeek-V3.2
DeepSeek-R1
DeepSeek-V3.2 ReleaseDeepSeek-V3.2 is built for stronger reasoning and agent workflows, adding thinking-aware tool use while keeping both thinking and non-thinking tool-use modes available.
MiniMaxMiniMax AIMiniMax-M3
MiniMax-M2.7
MiniMax M3: Frontier Coding, 1M Context, Native MultimodalityMiniMax-M3 is a sparse-attention model for coding, agentic work, long-context tasks, and multimodal input, with MiniMax-M2.7 kept as a supported sibling model.
GLMZ AIGLM-5.2
GLM-5.1
GLM-4.7
GLM-5.2: Built for Long-Horizon TasksGLM-5.2 is Z AI's latest flagship model for long-horizon coding agents, large-scale implementation, automated research, and performance optimization.
Kimi-K2Moonshot AIKimi-K2-Thinking
Kimi-K2-Instruct-0905
Kimi K2 ThinkingKimi-K2-Thinking is the reasoning-focused Kimi-K2 variant for long-horizon agentic workflows, multi-step reasoning, and tool-heavy tasks.
QwenQwenQwen3.6-35B-A3BQwen3.6-35B-A3B: Agentic Coding Power, Now Open to AllQwen3.6-35B-A3B is an open-weight MoE model focused on stable, practical coding and agentic workflows, with Qwen3-Next and larger Qwen3 MoE variants also represented.
gpt-ossOpenAIgpt-oss-120b
gpt-oss-safeguard-120b
Introducing gpt-oss-safeguardgpt-oss-120b is OpenAI's open-weight GPT model; gpt-oss-safeguard-120b adds policy-driven reasoning classification for flexible moderation and safety workflows.
StepStepFunStep-3.5-FlashStep 3.5 FlashStep-3.5-Flash is a sparse MoE foundation model for efficient reasoning and agentic workflows, activating a small subset of its total parameters per token.