2c72caf614
- Add CLAUDE.md with Gitea integration, development guidelines, and wiki interaction instructions - Add comprehensive README.md with service overview, quick start, and configuration details - Add service directories: gitea/, openai/, immich-app/, and setup scripts (install-cuda.sh, nvidia-docker-install.sh) - Update docker-compose.yml structure and immich configuration - Include restore example script for Immich database backups This repository now serves as the source of truth for Docker Compose configurations and deployment automation for Agap home server services (Immich, Gitea, Open WebUI). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
36 lines
1.1 KiB
Bash
Executable File
36 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
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set -e
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# Remove old CUDA GPG key if present
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sudo apt-key del 7fa2af80 2>/dev/null || true
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# Install prerequisites
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sudo apt-get update
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sudo apt-get install -y gcc g++ make dkms
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# Add NVIDIA CUDA repository (Ubuntu 22.04/24.04)
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DISTRO=$(lsb_release -rs | tr -d '.') # e.g., 2204 or 2404
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ARCH=$(uname -m) # x86_64 or aarch64
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# Download and install the CUDA keyring package
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${DISTRO}/${ARCH}/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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rm cuda-keyring_1.1-1_all.deb
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# Update and install the latest CUDA toolkit
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sudo apt-get update
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sudo apt-get install -y cuda-toolkit # toolkit only (no driver)
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# OR install everything including the driver:
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# sudo apt-get install -y cuda
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# Add CUDA to PATH and LD_LIBRARY_PATH
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CUDA_PATH="/usr/local/cuda"
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echo "" >> ~/.bashrc
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echo "# CUDA" >> ~/.bashrc
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echo "export PATH=${CUDA_PATH}/bin:\$PATH" >> ~/.bashrc
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echo "export LD_LIBRARY_PATH=${CUDA_PATH}/lib64:\$LD_LIBRARY_PATH" >> ~/.bashrc
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source ~/.bashrc
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echo "CUDA installed successfully!"
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nvcc --version
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