Why Kubernetes for generative AI
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The generative AI workload lifecycleFrom a model on Hugging Face to a paying customer's request
Lifecycle

Five stages, one platform

Most teams travel the same road: pick a model, package it, deploy it, observe it, then customize it. Kubernetes shows up at every stage as the operational substrate, not as a one-time deployment target.

  • Select
  • Package
  • Serve
  • Observe
  • Customize