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docs: correct CPU embedding speed estimate (tens of seconds, not minutes)

flan
2026-06-12 17:00:11 +00:00
parent 60e16e967c
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Troubleshooting.md
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@@ -61,7 +61,7 @@ winnow downloads InsightFace and HuggingFace (SigLIP) models on first run.
Use the `:cpu` image tag (`ghcr.io/sudolulo/winnow:cpu`) which omits the CUDA base entirely. Or set `FORCE_CPU=true` with `:latest` to disable GPU at runtime.
Everything works on CPU but embedding computation is slower — expect several minutes per person instead of seconds.
Everything works on CPU but embedding computation is slower — typically tens of seconds per person instead of under a second on GPU.
If you have a GPU but it's not being used:
- Confirm the NVIDIA container toolkit is installed: `docker run --rm --gpus all nvidia/cuda:13.3.0-base-ubuntu22.04 nvidia-smi`