Deepu Talla
Deepu Talla is Vice President and General Manager of Robotics and Edge AI at Nvidia, where he leads the company's robotics platform spanning training, simulation, and edge runtime computing. He oversees Nvidia's Jetson edge computing platform, the Omniverse simulation environment, and initiatives in physical AI and robotics, having transitioned to this role after joining Nvidia in 2013 to work on the Tegra mobile processor business. He is best known for driving Nvidia's strategy across the three-computer model for robotics and advocating for simulation-based approaches to close the sim-to-real gap in robotics development.
“For each application, I believe there is a 10 second equivalent. Until you hit that, you're not in the game... I believe we have recently hit that 10 second mark in autonomous vehicles. And you got to ask yourself, how is it that suddenly in the last six months to a year, there are so many Waymos out there. Suddenly Tesla self-driving has hit that 10 second mark.”
Source→“Much of their spend today goes into training and simulation because until you get a reasonably good enough accurate model, why bother deploying at the edge and scaling out? So much of the action today is happening in training and simulation.”
Source→“The simulation in robotics, the technology was not as good, where the sim to real gap is sufficiently large until recently that you can simulate all you want but it's not exactly representative of what happens in the real world. So you're almost throwing it away... Now the technology has become reasonably good enough, thanks to AI and thanks to our investments in NVIDIA Omniverse.”
Source→“Podcast: Chipstrat, Date: 2026-05-25, Participants: Deepu Talla (NVIDIA VP Robotics & Edge AI), Austin Lyons (Chipstrat)”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.