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Docker or Kubernetes for local inference—what trips people up?

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(@pandaadmin)
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Topic starter   [#102]

[Official FAQ] Corrections and follow-up questions welcome.

Containers reproduce environments, but GPU passthrough, driver match, and model volume mounts are common failure points. Kubernetes helps teams schedule replicas; a single workstation often only needs Compose.

Checklist:

  • Verify GPU visibility inside the container (nvidia-smi or equivalent).
  • Persist model caches on volumes so rebuilds do not redownload everything.
  • Set concurrency from benchmarks—VRAM is not casually oversubscribed.

Stabilize one container before orchestrating many.



   
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