blumeops/argocd/manifests/nvidia-device-plugin/time-slicing-config.yaml

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: nvidia-device-plugin-config
  namespace: nvidia-device-plugin
data:
  config.yaml: |
    version: v1
    sharing:
      timeSlicing:
        resources:
          - name: nvidia.com/gpu
            replicas: 4
Deploy Ollama LLM server on ringtail (#277) ## Summary - Deploy Ollama as a new ArgoCD-managed service on ringtail's k3s cluster with GPU acceleration - Declarative model management via `models.txt` + sidecar sync script (mirrors kiwix torrent pattern) - Initial models: `qwen2.5:14b`, `deepseek-r1:14b`, `phi4:14b`, `gemma3:12b` - hostPath PV on `/mnt/storage1/ollama` for fast local model storage (200Gi) - Tailscale ingress at `ollama.ops.eblu.me` for API access from tailnet - Enable GPU time-slicing (`replicas: 2`) on nvidia-device-plugin so Frigate and Ollama share the RTX 4080 ## Deployment and Testing - [ ] Deploy nvidia-device-plugin changes first: `argocd app sync nvidia-device-plugin` - [ ] Verify GPU time-slicing: `kubectl describe node ringtail --context=k3s-ringtail` shows `nvidia.com/gpu: 2` - [ ] Sync `apps` app with `--revision feature/ollama-ringtail` - [ ] Set ollama app to branch: `argocd app set ollama --revision feature/ollama-ringtail && argocd app sync ollama` - [ ] Verify model-sync sidecar pulls models: `kubectl logs -n ollama deploy/ollama -c model-sync --context=k3s-ringtail` - [ ] Test API: `curl https://ollama.ops.eblu.me/api/tags` - [ ] Test inference: `curl https://ollama.ops.eblu.me/api/generate -d '{"model":"qwen2.5:14b","prompt":"Hello"}'` - [ ] Verify Frigate still works after GPU sharing change - [ ] After merge: `argocd app set ollama --revision main && argocd app sync ollama` Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/277 2026-03-02 20:39:51 -08:00			`---`
			`apiVersion: v1`
			`kind: ConfigMap`
			`metadata:`
			`name: nvidia-device-plugin-config`
			`namespace: nvidia-device-plugin`
			`data:`
			`config.yaml: \|`
			`version: v1`
			`sharing:`
			`timeSlicing:`
			`resources:`
			`- name: nvidia.com/gpu`
C2(migrate-immich-to-ringtail): impl add immich Deployments + bump GPU time-slicing - argocd/manifests/immich-ringtail/: full port of the immich stack (server, ML, valkey, services, ingress, pvc-ml-cache) from argocd/manifests/immich/, with ringtail-specific tweaks: - deployment-ml: runtimeClassName=nvidia, nvidia.com/gpu:1 limit, -cuda image tag - deployment-valkey + kustomization: drop the registry.ops.eblu.me/blumeops/valkey mirror (arm64-only), use upstream docker.io/valkey/valkey:8.1.6 (multi-arch) - ingress-tailscale: tls.hosts=[photos-ringtail] for staging - argocd/apps/immich-ringtail.yaml: new ArgoCD app (manual sync, ringtail destination) - argocd/manifests/nvidia-device-plugin/time-slicing-config.yaml: bump replicas 2 -> 4 so the ringtail GPU can be shared by frigate + ollama + immich-ml The immich-db Secret in the immich namespace is created manually (matching minikube pattern) — see argocd/apps/immich-ringtail.yaml header for the procedure. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> 2026-05-13 13:14:07 -07:00			`replicas: 4`