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Deploying AI Agents on Kubernetes with vLLM

  • author: "Vikas Dhyani"
  • date: "2026-03-30"
  • read_time: "~1 min"

Scaling local model inference in enterprise environments requires structured cluster management. By deploying **vLLM** (an elite high-throughput model engine) inside **Kubernetes**, we automate GPU allocations and scale deployments based on API request throughputs.


# Kubernetes deployment spec snippet for vLLM
spec:
  containers:
    - name: vllm-server
      image: vllm/vllm-openai:latest
      resources:
        limits:
          nvidia.com/gpu: "1"
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