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Batch inference on OpenShift AI with llm-d: Architecture, integration, and workflows

· · Plataformas de Desenvolvimento e Versionamento· 1 min de leitura· Fonte: Red Hat Developers

Resumo Executivo

  1. Offline workloads can use spare GPU capacity
  2. Yield to interactive traffic during spikes
  3. Align with pricing models such as differential batch rates

Texto original analisado via motor FOSS-Core.

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