d723924bdf
- Add working Podman-based GPU Tdarr startup script for Fedora systems - Document critical Docker Desktop GPU issues on Fedora/Nobara systems - Add comprehensive Tdarr configuration examples (CPU and GPU variants) - Add GPU acceleration patterns and troubleshooting documentation - Provide working solution for NVIDIA RTX GPU hardware transcoding Key insight: Podman works immediately for GPU access on Fedora systems where Docker Desktop fails due to virtualization layer conflicts. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
76 lines
2.6 KiB
Bash
Executable File
76 lines
2.6 KiB
Bash
Executable File
#!/bin/bash
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# Tdarr Node with GPU Support - Podman Script
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# This script starts a Tdarr node container with NVIDIA GPU acceleration using Podman
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set -e
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CONTAINER_NAME="tdarr-node-gpu"
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SERVER_IP="10.10.0.43"
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SERVER_PORT="8266"
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NODE_NAME="local-workstation-gpu"
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echo "🚀 Starting Tdarr Node with GPU support using Podman..."
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# Stop and remove existing container if it exists
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if podman ps -a --format "{{.Names}}" | grep -q "^${CONTAINER_NAME}$"; then
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echo "🛑 Stopping existing container: ${CONTAINER_NAME}"
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podman stop "${CONTAINER_NAME}" 2>/dev/null || true
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podman rm "${CONTAINER_NAME}" 2>/dev/null || true
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fi
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# Create required directories
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echo "📁 Creating required directories..."
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mkdir -p ./media ./tmp
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# Start Tdarr node with GPU support
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echo "🎬 Starting Tdarr Node container..."
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podman run -d --name "${CONTAINER_NAME}" \
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--device nvidia.com/gpu=all \
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--restart unless-stopped \
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-e TZ=America/Chicago \
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-e UMASK_SET=002 \
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-e nodeName="${NODE_NAME}" \
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-e serverIP="${SERVER_IP}" \
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-e serverPort="${SERVER_PORT}" \
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-e inContainer=true \
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-e ffmpegVersion=6 \
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-e NVIDIA_DRIVER_CAPABILITIES=all \
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-e NVIDIA_VISIBLE_DEVICES=all \
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-v "$(pwd)/media:/media" \
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-v "$(pwd)/tmp:/temp" \
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ghcr.io/haveagitgat/tdarr_node:latest
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echo "⏳ Waiting for container to initialize..."
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sleep 5
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# Check container status
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if podman ps --format "{{.Names}}" | grep -q "^${CONTAINER_NAME}$"; then
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echo "✅ Tdarr Node is running successfully!"
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echo ""
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echo "📊 Container Status:"
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podman ps --filter "name=${CONTAINER_NAME}" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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echo ""
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echo "🔍 Testing GPU Access:"
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if podman exec "${CONTAINER_NAME}" nvidia-smi --query-gpu=name --format=csv,noheader,nounits 2>/dev/null; then
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echo "🎉 GPU is accessible in container!"
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else
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echo "⚠️ GPU test failed, but container is running"
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fi
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echo ""
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echo "🌐 Connection Details:"
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echo " Server: ${SERVER_IP}:${SERVER_PORT}"
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echo " Node Name: ${NODE_NAME}"
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echo ""
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echo "🧪 Test NVENC encoding:"
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echo " podman exec ${CONTAINER_NAME} /usr/local/bin/tdarr-ffmpeg -f lavfi -i testsrc2=duration=5:size=1920x1080:rate=30 -c:v h264_nvenc -preset fast -t 5 /tmp/test.mp4"
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echo ""
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echo "📋 Container Management:"
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echo " View logs: podman logs ${CONTAINER_NAME}"
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echo " Stop: podman stop ${CONTAINER_NAME}"
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echo " Remove: podman rm ${CONTAINER_NAME}"
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else
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echo "❌ Failed to start container"
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echo "📋 Checking logs..."
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podman logs "${CONTAINER_NAME}" --tail 10
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exit 1
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fi |