

NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
153 snips Nov 7, 2024
Jensen Huang, CEO of NVIDIA, shares insights into the company's explosive growth and the AI revolution reshaping data centers. He discusses their ambitious 10-year infrastructure plans and the impact of innovations like NVLink on performance. Huang emphasizes the transformative role of AI in scientific discovery and the future of digital employees. With a focus on challenges in scaling AI chip design, he envisions a world where advanced AI capabilities enhance collaboration and drive groundbreaking advancements in various industries.
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Computing Transformation
- The computing world has shifted from CPUs designed for human coding to GPUs designed for AI.
- This change allows us to tackle larger-scale problems than previously imagined.
Hyper Moore's Law
- NVIDIA aims to double or triple performance yearly, driving down costs and energy consumption.
- This "hyper Moore's Law" curve surpasses traditional scaling predictions.
New Scaling Techniques
- Traditional scaling techniques like Denard scaling and VLSI scaling are becoming obsolete.
- Co-design, where algorithms and system architecture inform each other, is crucial for future scaling.