Jensen Huang is founder and CEO of NVIDIA, whose GPUs sit at the heart of the majority of machine learning models today.

Jensen shares the story behind NVIDIA's expansion from gaming to deep learning acceleration, leadership lessons that he's learned over the last few decades, and why we need a virtual world that obeys the laws of physics (aka the Omniverse) in order to take AI to the next era. Jensen and Lukas also talk about the singularity, the slow-but-steady approach to building a new market, and the importance of MLOps.

The complete show notes (transcript and links) can be found here: [ Ссылка ]

---

⏳ Timestamps:
0:00 Intro
0:50 Why NVIDIA moved into the deep learning space
7:33 Balancing the compute needs of different audiences
10:40 Quantum computing, Huang's Law, and the singularity
15:53 Democratizing scientific computing
20:59 How Jensen stays current with technology trends
25:10 The global chip shortage
27:00 Leadership lessons that Jensen has learned
32:32 Keeping a steady vision for NVIDIA
35:48 Omniverse and the next era of AI
42:00 ML topics that Jensen's excited about
45:05 Why MLOps is vital
48:38 Outro

---

Subscribe and listen to our podcast today!
👉 Apple Podcasts: [ Ссылка ]
👉 Google Podcasts: [ Ссылка ]
👉 Spotify: [ Ссылка ]

свернуть