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Keynote Speech: From Chip to Data Center: How Meta Co-Designs AI Infrastructure

3:15 pm - 3:40 pm

Meta's pursuit of personal superintelligence for everyone requires fundamentally rethinking AI infrastructure, from in-house silicon to global fleet management. At Meta, we operate at the scale of millions of servers serving billions of users while simultaneously pushing the frontiers of AI. This talk will provide an inside look at how we are co-designing silicon, data centers, and software as a single integrated system to build the next generation of hyperscale AI clusters. We will share our approach to several defining challenges at this scale: managing compute resources globally; ensuring reliability when thousands, or even hundreds of thousands, of accelerators must act as one during LLM training, and driving breakthroughs in power efficiency by optimizing the entire cluster, not just the chip.

Featured Speakers

Dr. CQ (Chunqiang) Tang

Dr. CQ (Chunqiang) Tang

Vice President of Engineering, AI & Compute Foundation, Meta

Dr. CQ (Chunqiang) Tang is Vice President of the AI & Compute Foundation organization at Meta, leading Meta's hardware strategy, hardware/software co-design, and AI chip software.

Since joining Meta in 2013, he has helped build foundational infrastructure across the full hardware and software stack: hyperscale AI clusters, in-house silicon, AI chip software, LLM training and inference software, and internal cloud software.

In addition to building infrastructure that serves billions of people, he publishes top-venue research on hyperscale systems. His work has earned Best Paper Awards at SOSP, OSDI, ISCA, and ASPLOS; multiple IEEE Micro Top Picks; and two Communications of the ACM honors—a Research Highlight and a cover story. He has published over 100 papers and holds around 100 patents. 

Dr. CQ Tang holds a B.S. in Computer Science from the University of Science and Technology of China, an M.S. in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences, and a Ph.D. in Computer Science from the University of Rochester.