Production LLMs with Vaishnavi Gudur

Production LLMs with Vaishnavi Gudur

From RunAs Radio by Richard Campbell

May 13, 2026 · 35 min · Episode 1036

About this episode

Richard Campbell interviews Vaishnavi Gudur about the complexities of production-grade large language models and their application in Microsoft Teams.

What does a production-grade large language model look like? While at NDC Sydney, Richard talked with Vaishnavi Gudur from Microsoft about her work scaling LLMs for Teams transcriptions, summaries, and more! Vaishnavi discusses the underlying complexities of operating the Teams LLM infrastructure for a large array of customers across different countries and regulatory regimes. Data sovereignty also plays a large role: different countries have specific rules on where data must reside and how it can be accessed. As the scale increases and the tail gets longer, the rules set gets more complex! Lots of great thinking about what LLMs look like in a production environment.

People in this episode

Host: Richard Campbell

Guest: Vaishnavi Gudur

Topics covered

  • large language models
  • data sovereignty
  • Teams transcriptions
  • scaling LLMs
  • production environment

Keywords

  • production LLMs
  • Microsoft Teams
  • data regulations
  • transcriptions
  • summaries

Mentioned in this episode

Organizations: Microsoft

Places: NDC Sydney

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