Describe the bug
On stock Windows, Settings → Compute still fails with:
mesh-llm feature not enabled
#2836 described this exactly and was closed as completed. That close is wrong for official Windows builds:
Linux got --features mesh-llm (#3788 / #4524). Windows did not.
This is not #7731. That issue is the next wall for custom --features mesh-llm Windows builds (v0.75.1 LoadLibraryExW mixed-separator path). Stock release-windows never reaches that code: it still compiles mesh_llm_stubs.
To Reproduce
- Install official Buzz Desktop Windows (tested: 0.5.25 x64 NSIS / updater).
- Open Settings → Compute.
- See
mesh-llm feature not enabled.
Expected
Windows release and canary ship --features mesh-llm (and whatever Windows native-runtime bundling is required), matching macOS arm and Linux. A Windows GPU host can share compute with other members on the same relay.
Failing that, Compute should be hidden/disabled on stub builds rather than rendering the stub error. #2836 should not stay closed as completed.
Supporting Material
Installed C:\Users\arneb\AppData\Local\Buzz\buzz-desktop.exe:
- ProductVersion 0.5.25 (file date 2026-09-24, 96 529 920 bytes)
- Contains:
mesh-llm feature not enabled, mesh_llm_stubs, Buzz shared compute is not available in this build
- Does not contain:
mesh-llm-sdk, mesh_llm_host
- No
%LOCALAPPDATA%\mesh-llm cache (stub never downloads a runtime)
CI on current main (checked 2026-09-25):
.github/workflows/windows-canary.yml: No mesh-llm: release-windows doesn't build it.
.github/workflows/release.yml release-windows: pnpm tauri build ... --bundles nsis without --features mesh-llm
- macOS arm and Linux jobs do pass
--features mesh-llm
Environment
- OS: Windows 11
- Version: Buzz Desktop 0.5.25 (Windows x64 release/updater)
- GPU: NVIDIA GeForce RTX 4080 SUPER 16 376 MiB (Ada,
sm_89), driver 610.47, CUDA UMD 13.3
Additional context
A follow-up Windows enablement PR should not treat “flag on” as “Share works”:
- #7731 — v0.75.1 Windows native-runtime load (
OS error 126); main pin notes v0.76.x as the fix.
- MeshLLM Windows Vulkan MinGW ABI (Mesh-LLM#1160 / #1201).
- CUDA 12 Windows runtime needs
cudart64_12 / cublas64_12 / cublasLt64_12 even on Ada (sm_89) when the driver is CUDA 13.x.
Please also link this from #2836 / #2388.
Describe the bug
On stock Windows, Settings → Compute still fails with:
#2836 described this exactly and was closed as completed. That close is wrong for official Windows builds:
ArneBroedelcannot reopen [Bug] Windows Settings → Compute: "mesh-llm feature not enabled" (mesh omitted from Windows builds) #2836 (ReopenIssuepermission denied). Evidence is also on #2836 (comment).Linux got
--features mesh-llm(#3788 / #4524). Windows did not.This is not #7731. That issue is the next wall for custom
--features mesh-llmWindows builds (v0.75.1LoadLibraryExWmixed-separator path). Stockrelease-windowsnever reaches that code: it still compilesmesh_llm_stubs.To Reproduce
mesh-llm feature not enabled.Expected
Windows release and canary ship
--features mesh-llm(and whatever Windows native-runtime bundling is required), matching macOS arm and Linux. A Windows GPU host can share compute with other members on the same relay.Failing that, Compute should be hidden/disabled on stub builds rather than rendering the stub error. #2836 should not stay closed as completed.
Supporting Material
Installed
C:\Users\arneb\AppData\Local\Buzz\buzz-desktop.exe:mesh-llm feature not enabled,mesh_llm_stubs,Buzz shared compute is not available in this buildmesh-llm-sdk,mesh_llm_host%LOCALAPPDATA%\mesh-llmcache (stub never downloads a runtime)CI on current
main(checked 2026-09-25):.github/workflows/windows-canary.yml:No mesh-llm: release-windows doesn't build it..github/workflows/release.ymlrelease-windows:pnpm tauri build ... --bundles nsiswithout--features mesh-llm--features mesh-llmEnvironment
sm_89), driver 610.47, CUDA UMD 13.3Additional context
A follow-up Windows enablement PR should not treat “flag on” as “Share works”:
OS error 126);mainpin notes v0.76.x as the fix.cudart64_12/cublas64_12/cublasLt64_12even on Ada (sm_89) when the driver is CUDA 13.x.Please also link this from #2836 / #2388.