Migrate Frigate from indri's minikube (arm64, ZMQ detector) to ringtail's k3s cluster to leverage the RTX 4080 for TensorRT-accelerated ONNX inference. - Enable nvidia-container-toolkit and configure k3s containerd nvidia runtime - Add NVIDIA device plugin ArgoCD app (RuntimeClass + DaemonSet) - Re-target Frigate ArgoCD app to ringtail k3s cluster - Switch image to x86_64 tensorrt variant with runtimeClassName: nvidia - Add GPU resource limit (nvidia.com/gpu: 1) and increase shm to 512Mi - Replace ZMQ detector with ONNX (auto-selects TensorRT execution provider) - Update NFS PV and database PVC comments for ringtail Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
18 lines
454 B
YAML
18 lines
454 B
YAML
---
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apiVersion: argoproj.io/v1alpha1
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kind: Application
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metadata:
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name: nvidia-device-plugin
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namespace: argocd
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spec:
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project: default
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source:
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repoURL: ssh://forgejo@forge.ops.eblu.me:2222/eblume/blumeops.git
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targetRevision: main
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path: argocd/manifests/nvidia-device-plugin
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destination:
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server: https://ringtail.tail8d86e.ts.net:6443
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namespace: nvidia-device-plugin
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syncPolicy:
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syncOptions:
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- CreateNamespace=true
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