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Scaling AI Isn’t A Computing Problem—It's A Network Problem

By Gedeon Hombrebueno posted Aug 13, 2024 04:55 PM

  

While computational power is undeniably critical for training and executing AI models, AI systems also rely heavily on the underlying network architecture and infrastructure to perform efficiently and effectively. As AI continues to advance, the true bottleneck often lies in the network.

Broadcom VP and GM of Agile Operations Division, Serge Lucio examines how the future of AI scalability hinges not just on more powerful processors but on the seamless integration of advanced networking infrastructure. A Forbes Technology Council exclusive.

Scaling AI Isn’t A Computing Problem—It's A Network Problem
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