Deploying vLLM on Kubernetes: a production manifest, line by line
A complete Deployment, Service, PodDisruptionBudget and HPA hook for vLLM: GPU limits, shared memory, probes sized for slow starts, tolerations, tensor parallelism, rollout settings for full GPU pools, graceful shutdown and a debugging playbook.
19 min·Verified 2026-11Pro+50 XP
This lesson assembles everything into a manifest you can actually deploy. Treat it as a reviewed starting point: pin your own versions, test on a non-production cluster and read the current engine documentation, because flags change between releases.
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