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This Kubernetes cluster has: - vLLM for serving an inference model - vLLM for serving a safety model - Postgres DB (for metadata and other state for the Llama Stack distro) - Chroma DB for Vector IO (memory) Perhaps most importantly, this was me trying to learn Kubernetes for the first time. ## Test Plan Run `sh apply.sh` against an EKS cluster, then after `kubectl port-forward service/llama-stack-service 8321:8321` and after many attempts, we have finally: <img width="1589" alt="image" src="https://github.com/user-attachments/assets/c69f242d-6aaa-4def-9f7c-172113b8bfc1" /> <img width="1978" alt="image" src="https://github.com/user-attachments/assets/cf678404-f551-4fa5-9077-bebe3e8e8ae8" /> |
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| .. | ||
| apply.sh | ||
| chroma-k8s.yaml.template | ||
| ingress-k8s.yaml.template | ||
| postgres-k8s.yaml.template | ||
| stack-configmap.yaml | ||
| stack-k8s.yaml.template | ||
| stack_run_config.yaml | ||
| vllm-k8s.yaml.template | ||
| vllm-safety-k8s.yaml.template | ||