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. Like, comment, subscribe—and share if you learned something new!