Added env examples and scripts

scripts/install-nvidia-stack.sh

@@ -0,0 +1,45 @@
+#!/usr/bin/env bash
+# Install proprietary NVIDIA driver + NVIDIA Container Toolkit on Ubuntu (for Docker GPU).
+# Run on the server: bash scripts/install-nvidia-stack.sh
+# Reboot after completion, then: nvidia-smi
+
+set -euo pipefail
+
+echo "==> Updating apt"
+sudo apt-get update
+
+echo "==> Installing ubuntu-drivers-common"
+sudo apt-get install -y ubuntu-drivers-common
+
+echo "==> Detected devices / recommendations:"
+ubuntu-drivers devices || true
+
+echo "==> Installing recommended proprietary NVIDIA driver"
+sudo ubuntu-drivers autoinstall
+
+echo "==> Adding NVIDIA Container Toolkit repository"
+sudo apt-get install -y curl gnupg2
+curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
+  | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
+curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
+  | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
+  | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+
+echo "==> Installing nvidia-container-toolkit"
+sudo apt-get update
+sudo apt-get install -y nvidia-container-toolkit
+
+echo "==> Configuring Docker to use NVIDIA runtime"
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+
+echo ""
+echo "Done. Reboot the server so the kernel loads the NVIDIA driver:"
+echo "  sudo reboot"
+echo ""
+echo "After reboot, verify:"
+echo "  nvidia-smi"
+echo "  docker run --rm --gpus all nvidia/cuda:12.6.3-base-ubuntu22.04 nvidia-smi"
+echo ""
+echo "Then recreate Jellyfin:"
+echo "  cd $(dirname "$(dirname "$(readlink -f "$0")")") && docker compose up -d jellyfin"