Generative AI | Network Considerations and Impact to Data Center Designs
View/Listen to RecordingGenerative AI has, in a very short space of time, disrupted the technical and social landscape like few other technologies we’ve seen in the past two decades. While the full implications of this new technology will still take a long to be fully understood and realized, organizations are already pivoting or preparing to meet the requirements of this new-generation of AI and Machine Learning tools.
In this deep-dive session, Gary Bernstein, Senior Director of Global DC Sales will provide much needed clarity to this subject, providing you with demonstrable examples of how to adapt your network architecture designs to best meet the requirements for training and inferencing requirements.
In this session learn more about:
- Market forecasts and technologies
- Impact to data center designs
- New higher bandwidth requirements
- Considerations around Ethernet and InfiniBand Networks
Presenters
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.
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