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Deployment Engineering

Engineering practice for running models: inference optimization, memory and cost, serving architecture, and infrastructure choices.

Latest selected stories

Items 41–41 of 41 items
Jul 23Wed
  1. Mistral AI60

    Our contribution to a global environmental standard for AI

    Mistral AI, together with Carbone 4 and France's ADEME, completed what it calls the industry's first full life-cycle environmental impact assessment (LCA) of an AI model.

    Why it matters: The article provides measured environmental footprint data from Mistral Large 2 training and inference, offering a concrete reference methodology for assessing AI's environmental impact.