Unsloth adds AMD support for local inference and fine-tuning
danielhanchen · reddit · 2026-07-20
Unsloth now officially supports AMD hardware for local inference, fine-tuning, reinforcement learning, and deployment.
The release works on Windows, Linux, WSL, and technically macOS, and supports Radeon RX 9000/7000, Instinct MI350/MI300, Strix Halo / Ryzen AI Max, and AMD CPUs for GPU-free inference. The team says it can cut VRAM use by up to 70% for training and up to 80% for RL, with ROCm, Triton, bitsandbytes, PyTorch, and llama.cpp builds installed automatically.
Other highlights include exporting to GGUF/safetensors/LoRA, connecting local models to Claude Code/Codex/Hermes Agent/OpenCode, remote monitoring, secure Cloudflare tunneling, and daily AMD-optimized llama.cpp ROCm prebuilts.
Related event: Unsloth Expands AMD Support for LLM Training and Inference(3 posts)→
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