Source: Fortune.com
Summary
Nvidia’s research teams are struggling to access enough GPUs, a bottleneck in the industry. Bryan Catanzaro, who leads applied deep learning research at Nvidia, says his team’s primary complaint is the lack of access to GPUs. Despite being a leading manufacturer of AI chips, Nvidia is also facing GPU shortages. Catanzaro’s team is working on Nemotron, a family of open-source models that are GPU-efficient. The project aims to strengthen the developer ecosystem tied to Nvidia hardware and software.
Our Reading
The numbers tell one story. Nvidia’s GPU shortage is impacting even its own research teams. Catanzaro’s teams are struggling to access enough GPUs, and he spends most of his time trying to secure more compute for his teams. The company is operating within constraints, and Catanzaro says “efficiency is also intelligence” in a supply-constrained world. Nvidia is no longer taking a hands-off approach to the AI ecosystem and sees a more active role for itself in shaping the ecosystem’s development. This isn’t a science project; it’s about Nvidia’s future.
Author: Evan Null
