Radar / AI coding tools / Foundry Local runs Qwen3.8-27B on-device for…
Foundry Local runs Qwen3.8-27B on-device for GitHub Copilot
Microsoft's Foundry Local now runs Alibaba's Qwen3.8-27B locally on NVIDIA GPUs and plugs it into GitHub Copilot through bring-your-own-key, giving developers agentic coding with no per-token bill and no code leaving the machine.
Why it matters
The first Microsoft-blessed path to run a frontier-class open coding model fully offline inside Copilot: Qwen3.8-27B scores 73.0 on Terminal Bench 2.1 and 61.7 on SWE-bench Pro, served on-device via ONNX Runtime.
What you could build with it
A development team working with sensitive proprietary code could run its coding agent entirely on local GPUs, keeping the codebase off the cloud while still getting agent-assisted edits inside the editor.
Does it hold up?
Too early to judge: preview status, NVIDIA GPUs with 24 GB or more only, Mac and AMD support still on the roadmap, and CUDA/cuDNN must be installed by hand.
Built with Foundry Local runs Qwen3.8-27B on-device for…
- Microsoft Releases Foundry Local to Run Qwen3.8-27B AI Model on Nvidia GPUsarticle · Covers the Foundry Local update, the 24 GB VRAM requirement, and the OpenAI-compatible local endpoint for editors.
- Qwen3.8-27B runs locally for Copilot, Mistral Studio gets managed agentsarticle · Daily briefing noting the 5 Nov Foundry blog post, the CLI 0.13.0 requirement, and the 4-bit 18 GB footprint on a 24 GB GPU.
- Microsoft Foundry Blog: on-device tagarticle · Microsoft's own Foundry blog listing, including the 5 Nov post 'Bring Agentic Coding On-Device with Foundry Local'.
Learn more
First spotted on article: source.
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