feat: switch to nvidia/cuda base image for NVENC hw encoding
- Base: nvidia/cuda:12.6.3-runtime-ubuntu24.04 - ffmpeg from apt has NVENC support when GPU runtime is available - docker-compose reserves all GPUs via deploy.resources Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -1,8 +1,13 @@
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FROM python:3.12-slim
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FROM nvidia/cuda:12.6.3-runtime-ubuntu24.04
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RUN apt-get update && apt-get install -y ffmpeg && rm -rf /var/lib/apt/lists/*
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 python3-pip ffmpeg \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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WORKDIR /app
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COPY core/ core/
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COPY core/ core/
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COPY server/ server/
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COPY server/ server/
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RUN pip install --no-cache-dir fastapi uvicorn[standard]
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RUN pip install --no-cache-dir --break-system-packages fastapi uvicorn[standard]
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EXPOSE 8000
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EXPOSE 8000
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CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]
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CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]
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@@ -12,6 +12,13 @@ services:
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EXPORT_DIR: /exports
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EXPORT_DIR: /exports
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DB_PATH: /data/8cut.db
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DB_PATH: /data/8cut.db
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CACHE_DIR: /data/cache
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CACHE_DIR: /data/cache
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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volumes:
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volumes:
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8cut-data:
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8cut-data:
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