Remove every hardcoded reference to k8s-node1 that pinned GPU scheduling to a specific host: - GPU workload nodeSelectors: gpu=true -> nvidia.com/gpu.present=true (frigate, immich, whisper, piper, ytdlp, ebook2audiobook, audiblez, audiblez-web, nvidia-exporter, gpu-pod-exporter). The NFD label is auto-applied by gpu-feature-discovery on any node carrying an NVIDIA PCI device, so the selector follows the card. - null_resource.gpu_node_config: rewrite to enumerate NFD-labeled nodes (feature.node.kubernetes.io/pci-10de.present=true) and taint each with nvidia.com/gpu=true:PreferNoSchedule. Drop the manual 'kubectl label gpu=true' since NFD handles labeling. - MySQL anti-affinity: kubernetes.io/hostname NotIn [k8s-node1] -> nvidia.com/gpu.present NotIn [true]. Same intent (keep MySQL off the GPU node) but portable when the card relocates. Net effect: moving the GPU card between nodes no longer requires any Terraform edit. Verified no-op for current scheduling — both old and new labels resolve to node1 today. Docs updated to match: AGENTS.md, compute.md, overview.md, proxmox-inventory.md, k8s-portal agent-guidance string. |
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|---|---|---|
| .. | ||
| .claude | ||
| src | ||
| static | ||
| .gitignore | ||
| .npmrc | ||
| Dockerfile | ||
| README.md | ||
| svelte.config.js | ||
| tsconfig.json | ||
| vite.config.ts | ||
sv
Everything you need to build a Svelte project, powered by sv.
Creating a project
If you're seeing this, you've probably already done this step. Congrats!
# create a new project
npx sv create my-app
To recreate this project with the same configuration:
# recreate this project
npx sv create --template minimal --types ts --install npm .
Developing
Once you've created a project and installed dependencies with npm install (or pnpm install or yarn), start a development server:
npm run dev
# or start the server and open the app in a new browser tab
npm run dev -- --open
Building
To create a production version of your app:
npm run build
You can preview the production build with npm run preview.
To deploy your app, you may need to install an adapter for your target environment.