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News

• [2026/02] 🦞 Parallax now supports OpenClaw integration! See Docs
• [2025/10] 🔥 Parallax won #1 Product of The Day on Product Hunt!
• [2025/10] 🔥 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:

• P2P communication powered by Lattica
• GPU backend powered by SGLang and vLLM
• Mac backend powered by MLX LM

User Guide

• Installation
• Getting Started
• Working with OpenClaw 🦞

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

	Provider	HuggingFace Collection	Blog	Description
DeepSeek	Deepseek	DeepSeek-V3.2 DeepSeek-R1	DeepSeek-V3.2 Release	DeepSeek-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.
MiniMax	MiniMax AI	MiniMax-M3 MiniMax-M2.7	MiniMax M3: Frontier Coding, 1M Context, Native Multimodality	MiniMax-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.
GLM	Z AI	GLM-5.2 GLM-5.1 GLM-4.7	GLM-5.2: Built for Long-Horizon Tasks	GLM-5.2 is Z AI's latest flagship model for long-horizon coding agents, large-scale implementation, automated research, and performance optimization.
Kimi-K2	Moonshot AI	Kimi-K2-Thinking Kimi-K2-Instruct-0905	Kimi K2 Thinking	Kimi-K2-Thinking is the reasoning-focused Kimi-K2 variant for long-horizon agentic workflows, multi-step reasoning, and tool-heavy tasks.
Qwen	Qwen	Qwen3.6-35B-A3B	Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All	Qwen3.6-35B-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-oss	OpenAI	gpt-oss-120b gpt-oss-safeguard-120b	Introducing gpt-oss-safeguard	gpt-oss-120b is OpenAI's open-weight GPT model; gpt-oss-safeguard-120b adds policy-driven reasoning classification for flexible moderation and safety workflows.
Step	StepFun	Step-3.5-Flash	Step 3.5 Flash	Step-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.