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Sponsored Session: Intel and Open Source: Bringing AI Everywhere - Arun Gupta, Intel
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Sponsored Session: Intel and Open Source: Bringing AI Everywhere - Arun Gupta, Intel
As artificial intelligence transforms from niche to omnipresent, the increased diversity of use-cases and workloads presents an ever-expanding set of platform challenges. With 100m+ Xeon instances around the world, Intel provides the most widely available compute platform across hyperscalers, client, network and edge. Intel’s strategy of “software-defined hardware-enabled" allows you to leverage the optimizations done in upstream software, tools and frameworks on Intel hardware. This creates a pragmatic path forward for building your AI solutions.
Learn how Intel actively engages in open-source communities, contributing patches to ensure users derive the maximum benefit from the underlying hardware. You’ll also learn about our work with ecosystem partners to deliver new levels of performance through software acceleration of popular AI frameworks. There is also a strong emphasis on maximizing developer productivity and ease-of-use by creating and embracing open, unified, and secure standards for our suite of end-to-end AI tools and libraries.
As artificial intelligence transforms from niche to omnipresent, the increased diversity of use-cases and workloads presents an ever-expanding set of platform challenges. With 100m+ Xeon instances around the world, Intel provides the most widely available compute platform across hyperscalers, client, network and edge. Intel’s strategy of “software-defined hardware-enabled" allows you to leverage the optimizations done in upstream software, tools and frameworks on Intel hardware. This creates a pragmatic path forward for building your AI solutions.
Learn how Intel actively engages in open-source communities, contributing patches to ensure users derive the maximum benefit from the underlying hardware. You’ll also learn about our work with ecosystem partners to deliver new levels of performance through software acceleration of popular AI frameworks. There is also a strong emphasis on maximizing developer productivity and ease-of-use by creating and embracing open, unified, and secure standards for our suite of end-to-end AI tools and libraries.