Noam Mizrahi: The Future of AI Data Centers Lies in Customization and Efficiency

Noam Mizrahi highlights the divergent trends in AI development: the need to continually enhance training performance and reduce inference costs to promote wider AI adoption. Customization is essential due to the variety of models and applications requiring optimization.

Future scalability for big platforms will depend on optimizing and customizing all platform components, including accelerator, networking, and connectivity chips, as well as data center power management. This approach is seen as crucial for meeting the diverse needs of AI applications moving forward.

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