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| #!/usr/bin/env bash | |
| set -euo pipefail | |
| export DEBIAN_FRONTEND=noninteractive | |
| # 1) Download & install CUDA toolkit repo | |
| CUDA_PKG="cuda-repo-ubuntu2204-12-8-local_12.8.0-570.86.10-1_amd64.deb" | |
| CUDA_URL="https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/$CUDA_PKG" | |
| echo "Downloading CUDA package..." | |
| wget -q "$CUDA_URL" -O "/tmp/$CUDA_PKG" | |
| echo "Installing CUDA repository package..." | |
| dpkg -i "/tmp/$CUDA_PKG" | |
| echo "Adding CUDA GPG key..." | |
| cp /var/cuda-repo-ubuntu2204-12-8-local/12.8.0-570.86.10-1/ubuntu2204/*keyring.gpg /usr/share/keyrings/ | |
| # 2) Update APT and install CUDA toolkit + dev packages | |
| echo "Updating apt & installing CUDA toolkit and Python dev packages..." | |
| apt-get update -qq | |
| apt-get install -y --no-install-recommends \ | |
| cuda-toolkit-12-8 \ | |
| python3.10-venv \ | |
| python3.10-dev \ | |
| nano \ | |
| ca-certificates \ | |
| wget | |
| # 3) Clean up APT cache to save space | |
| apt-get clean | |
| rm -rf /var/lib/apt/lists/* "/tmp/$CUDA_PKG" | |
| # 4) Create & activate Python venv | |
| echo "Creating Python venv in ./venv..." | |
| python3.10 -m venv venv | |
| # shellcheck disable=SC1091 | |
| source venv/bin/activate | |
| echo "Upgrading pip..." | |
| pip install --upgrade pip | |
| sudo apt install nodejs -y | |
| sudo apt install npm | |
| npm i @anthropic-ai/claude-code | |
| # 6) Install PyTorch with CUDA support | |
| echo "Installing PyTorch/cu128..." | |
| pip install --upgrade \ | |
| torch torchvision torchaudio \ | |
| --index-url https://download.pytorch.org/whl/cu128 | |
| echo | |
| echo "✅ Done! To start using your venv, run:" | |
| echo " source venv/bin/activate" | |
| echo | |
| echo "You can now use the Anthropic client in Python, e.g.:" | |
| echo " from anthropic import Client" | |
| echo " client = Client(api_key='YOUR_API_KEY')" |
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