On this podcast we get into the infrastructure required to support AI workloads. We discuss key considerations including bandwidth, the substantial power and cooling requirements of AI infrastructure, and GPUs. We also talk about InfiniBand and Ethernet as network fabrics for AI workloads, cabling considerations, and more.
Episode Guest: Gary Bernstein, Sr. Director of Global Data Center Sales, The Siemon Company
Gary Bernstein is currently Sr. Director of Global Data Center Sales for The Siemon Company, previously he was a Global Data Center Solutions Specialist. He was with Leviton for over fourteen years, serving as a Sr. Director of Product Management and before that he was a Director of Product Marketing with HellermannTyton. He holds a BS in Mechanical Engineering from Arizona State University and continues to learn, most recently earning the NVIDIA Certified Associate – AI in the Data Center certification.
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Gary Bernstein
Global Data Center Cabling Solutions Specialist, Siemon
Gary Bernstein is Sr. Director of Global Data Center Sales at Siemon with more than 25 years of industry experience and extensive knowledge in data center infrastructure, telecommunications, and copper and fiber structured cabling systems. Gary has held positions in engineering, sales, product management, marketing and corporate management throughout his career. Gary has been a member of TIA TR42.7 and TR42.11 Copper & Fiber Committees and various IEEE802.3 task forces and study groups including 40/100G “ba”, 200/400G “bs” and 400/800G “df” and 800G/1.6T “dj”. Gary has spoken on Data Center Cabling at several industry events in North America, Europe, LATAM & APAC including 7x24, AFCOM, BICSI, Cisco Live, Datacenter Dynamics and has authored several articles in industry trade publications. Gary received a Bachelor of Sciences in Mechanical Engineering from Arizona State University, is an RCDD with BICSI and a Certified Data Center Designer (CDCD) with Datacenter Dynamics.