The advent of AI is forcing us to rethink the way we design hardware and changing the way we think of processing. After all, data-hungry applications are processor-hungry applications.

In this episode of Moore's Lobby, Daniel speaks with Michael Kagan, the CTO of NVIDIA, a tech giant and household name in processing. Kagan's career spans foundational work across Intel, Mellanox, and now NVIDIA as they forge new technologies to enable accelerated compute.

Learn about the three core pillars of data center computing (spoilers: "GPU" might not mean what you think it means anymore). And learn why compute will soon need to become service-based as the burden of processing shifts increasingly to supercomputers.

And, of course, hear the historic reasons Kagan asserts that "chips without software is just expensive sand."

You won't find a more qualified voice on the intersection between processing, compute-hungry applications, and data centers, so don't miss this episode.