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upgrade CUDA backend from cu126 to cu128 and fix GPU settings UI

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Upgrade CUDA toolkit from 12.6 (cu126) to 12.8 (cu128) for proper
RTX 50-series (Blackwell) GPU support. Users with RTX 5070/5080/5090
were reporting CUDA detection failures with cu126.

Also fix the GPU Acceleration settings panel where the 'Switch to CPU
Backend' button was unreachable — it was inside a conditional block
that required !isCurrentlyCuda, making it impossible to switch back
to CPU once running on CUDA.

Closes #315
This commit is contained in:
James Pine
2026-03-18 07:47:39 -07:00
parent c9f38dd496
commit fc5ed1ff40
8 changed files with 54 additions and 40 deletions
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docs/content/docs/developer/building.mdx
+2 -2
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@@ -159,11 +159,11 @@ Tauri looks for `voicebox-server-${PLATFORM}` in `src-tauri/binaries/` and bundl
The `build-cuda-windows` job runs separately:
1. Install PyTorch with CUDA 12.6
1. Install PyTorch with CUDA 12.8
2. Build with `build_binary.py --cuda` (produces `--onedir` output)
3. Package with `scripts/package_cuda.py` into two archives:
- `voicebox-server-cuda.tar.gz` — server core (~945 MB)
- `cuda-libs-cu126-v1.tar.gz` — NVIDIA runtime libraries (~1.7 GB, cached independently)
- `cuda-libs-cu128-v1.tar.gz` — NVIDIA runtime libraries (~1.7 GB, cached independently)
4. Upload archives as release artifacts
This binary is downloaded on-demand by users who enable CUDA in settings. The CUDA libs archive is only re-downloaded when the CUDA toolkit version changes, not on every app update.