Beers with Engineers: Supercharge your AI cloud with virtualization

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Presented by

Gijsbert Janssen van Doorn, Dir Product Marketing, Raz Rotenberg, Software Team Lead & Noa Neria, Sr Software Engineer

About this talk

In this week's Beers with Engineers, we show how virtualization can supercharge your AI workloads and how it links to your abstraction layer. We also introduce rntop, an open-source tool you can use to measure your GPU cluster utilization - the results might surprise you! Hosted by Gijsbert Janssen van Doorn, Director Technical Product Marketing & Raz Rotenberg, Software Team Lead, and featuring Noa Neria, Senior Software Engineer. Get rntop on GitHub: https://github.com/run-ai/rntop
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Run:ai’s Atlas platform provides a ‘Foundation for AI Clouds’, whether on premises, across public clouds, or at the edge, allowing organizations to have their AI resources on a single, unified platform that supports AI at all stages of development, from building and training models to running inference in production. Organizations using Run:ai increase resource utilization by an average of 2x. Customers include Fortune 500 companies and cutting-edge AI startups from multiple verticals like finance, automotive, healthcare, and gaming, as well as leading academic AI research centers.