From Model to Metal - An Open Source Stack for Accelerating Intelligence
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Overview
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Explore how the UXL Foundation is revolutionizing AI development by eliminating fragmentation through an open-source, cross-platform software stack in this 26-minute technical session from WeAreDevelopers World Congress 2025. Discover how Andrew Wafaa, fellow and senior director of software communities at Arm, demonstrates the power of tools like oneDNN, oneTBB, and oneMath for building, optimizing, and deploying machine learning workloads across diverse hardware platforms including CPU, GPU, NPU, and more, with Arm architecture at the foundation. Learn about achieving portability, performance, and platform-agnostic acceleration while understanding the real-world benefits this approach brings to cloud, edge, and automotive AI applications. Gain insights into how you can get involved with the UXL Foundation and contribute your own kernels to this collaborative ecosystem that's transforming how developers approach AI acceleration across different hardware architectures.
Syllabus
From Model to Metal: An Open Source Stack for Accelerating Intelligence
Taught by
Arm Software Developers