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docs: GPU-runs-on-CPU troubleshooting note (#587)

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Surface how to verify NVIDIA CUDA acceleration and recover when AI tools fall back to CPU despite --gpus all. Adds a Verify GPU acceleration section to the deployment guide (check logs, reinstall the affected bundle to restore the GPU ONNX Runtime build) and a pointer from the getting-started NVIDIA tip. Addresses #490.
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2026-07-20 18:02:39 +08:00
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@@ -37,7 +37,7 @@ Add `--gpus all` for NVIDIA CUDA-accelerated background removal, upscaling, face
docker run -d --name SnapOtter -p 1349:1349 --gpus all -v SnapOtter-data:/data snapotter/snapotter:latest
```
Requires the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html). Falls back to CPU automatically when CUDA is unavailable. Intel/AMD iGPU acceleration through VA-API, Quick Sync, or OpenCL is not supported for AI inference today. See [Docker Tags](/guide/docker-tags) for benchmarks.
Requires the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html). Falls back to CPU automatically when CUDA is unavailable. Intel/AMD iGPU acceleration through VA-API, Quick Sync, or OpenCL is not supported for AI inference today. See [Docker Tags](/guide/docker-tags) for benchmarks. If AI tools run on CPU despite `--gpus all`, see [Verify GPU acceleration](/guide/deployment#verify-gpu-acceleration).
:::
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