Jensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOps

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: http://wandb.me/gd-jensen-huang---⏳ Timestamps: 0:00 Intro0:50 Why NVIDIA moved into the deep learning space7:33 Balancing the compute needs of different audiences10:40 Quantum computing, Huang's Law, and the singularity15:53 Democratizing scientific computing20:59 How Jensen stays current with technology trends25:10 The global chip shortage27:00 Leadership lessons that Jensen has learned32:32 Keeping a steady vision for NVIDIA35:48 Omniverse and the next era of AI42:00 ML topics that Jensen's excited about45:05 Why MLOps is vital48:38 Outro---Subscribe and listen to our podcast today!👉 Apple Podcasts: http://wandb.me/apple-podcasts​​👉 Google Podcasts: http://wandb.me/google-podcasts​👉 Spotify: http://wandb.me/spotify​

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Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.