NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
No Priors: Artificial Intelligence | Technology | Startups
Innovations in GPU Computing and Data Center Design
This chapter explores the intricate challenges of GPU computing, emphasizing the balance between low latency and high throughput in AI models. It discusses advancements in chip design, particularly the Hopper architecture, and the importance of adaptable infrastructure for both training and inference. The chapter also highlights the groundbreaking initiative 'Data Center as a Product' that allows for rapid deployment, showcasing the collaborative engineering efforts behind building a massive GPU supercluster.
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