Tuesday, 26 March,
16:30
–
18:30
Room 6E
The rapid evolution of artificial intelligence (AI) and machine learning (ML) has led to the development of increasingly complex and sophisticated AI/ML clusters. These clusters are composed of interconnected nodes working collaboratively to process vast amounts of data and perform intricate computations. This panel will explore the strategies and technologies that enable seamless communication and cooperation within these clusters, with an emphasis on low latency and power efficiency. Bringing together experts from academia and industry, the panel will delve into the challenges and solutions associated with creating robust, high-performance interconnections that optimize performance and efficiency of AI/ML systems.
Organizers
Brandon Buscaino, Ciena, United States
Norman Swenson, Infinera, United States
Qiong Zhang, Amazon, United States
Speakers
Keren Bergman, Columbia University, United States
Larry Dennison, NVIDIA, United States
Jeff Hutchins, Ranovus, United States
Bardia Pezeshki, Avecina Tech, United States
Rajiv Pancholy, Broadcom, United States
Sean Park, Point2 Technology, United States