Скачать или смотреть The future of GPU programming and AI - languages, frameworks, stacks (with AMD's Anush Elangovan)

James Governor sits down with Anush Elangovan, VP of AI at ‪@AMD‬ for a deep dive into the evolving landscape of GPU development—tile-based programming, Pythonic DSLs, Mojo, ThunderKittens, and everything reshaping how developers write high-performance AI code.

They explore:
-ThunderKittens and the shift toward tile-based GPU programming
-How MatMul units and tensor cores are redefining GPU architectures
-The rise of Pythonic DSLs: Mojo, Modular, Triton, Gluon, Helion & more
-Python vs. C++ rewrites and what “speed as the moat” really means
-Where the most surprising GPU/kernel innovation is happening globally
-How AMD thinks about enabling developers—academia, startups, enterprise
-ROCm as an open, inclusive platform for the next generation of GPU programmers
-Why AI today is “the electricity moment”—and we’re only at the frog-leg-twitching stage

If you’re into GPU programming, AI systems, developer tooling, or the future of AI hardware/software co-design, this conversation is packed with insights.

This video was sponsored by AMD.

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