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In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s supercluster. The conversation also covers Nvidia’s decade-long infrastructure bets, software longevity, and innovations like NVLink. Jensen shares his views on the future of embodied AI, digital employees, and how AI is transforming scientific discovery.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia
Show Notes:
00:00 Introduction
1:22 NVIDIA's 10-year bets
2:28 Outpacing Moore’s Law
3:42 Data centers and NVLink
7:16 Infrastructure flexibility for large-scale training and inference
10:40 Building and optimizing data centers
13:30 Maintaining software and architecture compatibility
15:00 X.AI’s supercluster
18:55 Challenges of super scaling data centers
20:39 AI’s role in chip design
22:23 NVIDIA's market cap surge and company evolution
27:03 Embodied AI
28:33 AI employees
31:25 Impact of AI on science and engineering
35:40 Jensen’s personal use of AI tools
4.4
112112 ratings
In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s supercluster. The conversation also covers Nvidia’s decade-long infrastructure bets, software longevity, and innovations like NVLink. Jensen shares his views on the future of embodied AI, digital employees, and how AI is transforming scientific discovery.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia
Show Notes:
00:00 Introduction
1:22 NVIDIA's 10-year bets
2:28 Outpacing Moore’s Law
3:42 Data centers and NVLink
7:16 Infrastructure flexibility for large-scale training and inference
10:40 Building and optimizing data centers
13:30 Maintaining software and architecture compatibility
15:00 X.AI’s supercluster
18:55 Challenges of super scaling data centers
20:39 AI’s role in chip design
22:23 NVIDIA's market cap surge and company evolution
27:03 Embodied AI
28:33 AI employees
31:25 Impact of AI on science and engineering
35:40 Jensen’s personal use of AI tools
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