Under NVIDIA founder Jensen Huang’s iconic leather jacket is one of the tech industry’s sharpest CEOs — a man who can not only talk eloquently about GPU architecture, machine learning and the limits of Moore’s Law, but do so for hours without a strict script. It’s an impressive feat, but if you’re not well versed in the technology of server GPUs, his talks can be a little hard to digest. That’s why we cut Huang’s two hour GTC keynote into an easily digestible clipshow.
NVIDIA’s GPU Technology Conference may be mostly aimed at developers and businesses, but the company still had a few exciting things to show off, including Project Holodeck (no, not that project holodeck), NVIDIA’s take on high-end virtual reality teleconferencing. Still, most of the presentation was focused on how the company’s latest supercomputer GPU facilitates deep learning artificial intelligence — the kind of algorithmic wizardry that lets computers teach themselves how to identify and touch up photos, play golf and autonomously drive cars.
Interested in the details? You get the bulk of them in just under 13 minutes by watching the embedded video above.