Why it matters

Deployment patterns shape production quality. Understanding shapes ops.

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The architecture

Cluster + namespace per model.

Inference engine as deployment.

Autoscaling + GPU sharing.

LLM deployment stackK8s clusterGPU nodesInference enginevLLM / TGI / TRT-LLMObservability + safetytraces + guardrailsChoose engine per model + workload; observability + safety must be first-class
LLM deployment.
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How it works end to end

K8s + KServe or Ray Serve.

vLLM / TGI / TRT-LLM engine.

Autoscaling + admission control.

Observability + guardrails.