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Lu Zhang's Talk At AI Infra Summit

Lu Zhang shared insights on the evolution of AI infrastructure and its critical challenges and opportunities. Drawing from her experience since 2015, she emphasized that while AI has become a buzzword, the real focus should be on building scalable, affordable, and efficient solutions. Zhang highlighted the importance of choosing the right architecture and leveraging high-quality data, particularly in industries like healthcare and finance that require robust security and regulatory compliance.

06:46

Bill Barry's Kickoff Talk At AI Infra Summit

We brought together an incredible audience from across the globe—including attendees from LA, New York, Shanghai, and Tashkent—to explore the future of AI infrastructure and build meaningful connections. Our passion for this summit comes from decades of partnerships, relationships, and dedication. We curated a lineup of industry veterans, enterprise leaders, and trailblazers to provide a holistic view of the AI ecosystem and ask the questions that will shape the future of the industry.

Speakers Talks
10:28

Jon Chu's Talk At AI Infra Summit

Jon Chu, partner at KV, delivered an insightful talk on the evolution of AI infrastructure and the transformative opportunities it presents. He highlighted how past platform shifts—from microprocessors to the internet and mobile eras—created generational companies and innovative infrastructure solutions.

Speakers Talks
14:14

Kumaran Siva's Talk at AI Infra Summit

“With AI its no longer about performance, its about how do you get it into a power envelope.” At our AI Infra Summit, we had the privilege of diving deep into AMD’s groundbreaking advancements in AI and data center technologies. With a massive buildout of AI capabilities across the enterprise landscape, AMD is playing a key role in shaping the future.

Speakers Talks
19:25

Andy Hock's Talk at AI Infra Summit

Andy Hock from Cerebra Systems presented at the AI Infra Summit, focusing on revolutionizing AI compute through wafer-scale engines. He emphasized the growing demand for AI infrastructure, explaining how traditional chips are insufficient for the massive computational needs of today’s AI models, which have increased by 40,000 times over the last five years. Cerebra Systems has developed the wafer-scale engine, the world’s largest computer chip, designed specifically for AI workloads.