# Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%

- 来源：Unsloth AI
- 发布时间：2026-07-20 22:11
- AIWatch 分数：66
- AIWatch 标记：当日精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kxzzqn8mv3y3zsbb8g1enmjp
- 原文链接：https://x.com/UnslothAI/status/2079207457788952944

## 精选理由

常规快讯，保留列表

## AI 摘要

Unsloth与AMD合作，发布AMD GPU支持，可在AMD硬件上训练和运行500+模型，速度提升2倍且显存减少70%。

## 正文

• We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
• Works on Windows, WSL, Linux
• Train Qwen, Gemma on 3GB VRAM

GitHub: https://github.com/unslothai/unsloth

Works on Radeon, Instinct, Ryzen and data center GPUs with up to 2× faster with 70% less VRAM and no accuracy loss via our custom Triton kernels and math algorithms. We also support optimized ROCm builds for GGUF & Safetensors inference.

Unsloth is an open-source local UI for faster LLM training and inference, with tool-call healing, code execution, secure web search, remote APIs, and HTTPS deployment. Connect local models to Claude Code, Codex agents and run the latest Kimi, GLM, DeepSeek, Qwen3.6, and Gemma 4 models.

🔗Blog + Guide: https://unsloth.ai/docs/basics/amd