Unsloth adds AMD support for faster local LLM training and inference
danielhanchen · x · 2026-07-20
Unsloth says it worked with AMD to bring RL, inference, and notebook support to its stack, with claims of up to 2× speedups and 70% less VRAM across 500+ models.
Key points:
- Supports RDNA 3/4, Strix Halo, MI300, and 325+ other setups
- Works on Windows, Linux, and WSL
- Adds RL vLLM weight sharing and faster execution
- Offers free remote HTTPS
- Unsloth Studio is presented as an open-source local UI for LLM training and inference, with tool-call healing, code execution, secure web search, remote APIs, and HTTPS deployment
Related event: Unsloth Expands AMD Support for LLM Training and Inference(3 posts)→
More from coding & agent
- OpenAI ships GPT-6.1 Terra; Brockman says its computer use now beats his own speed — gdb · 2026-10-27
- Kolab Benchmark Uses Pro Screen Recordings to Show AI Agents Overestimate Collaboration Quality — minnesotanlp · 2026-10-27
- Dev argues Claude burns far more tokens than GPT models for the same coding work — haider1 · 2026-10-27
- Stop building agents that can't change models: stable contracts, external state, real evals — rseroter · 2026-10-27
- Cheap models can cost more in agent harnesses than frontier ones, researcher warns — vasuman · 2026-10-27
- Kanzo: A 5k-Line Rust Kanban Binary With MCP for Claude Code and Codex — allmudi · 2026-10-27