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Evolving DC Networking for Hybrid AI Deployments
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Description:
The emergence of generative AI applications marks a new era for AI. The challenge, however, is that the characteristics of AI traffic are unique and quite distinct from the rest of the traffic carried by today’s data center network. The resulting data center build out is causing the need for a rethink of the data center network and strategies for deploying AI workloads in hybrid clouds. Once built predominantly in hyperscale operated clouds, enterprises are now investing in on-prem, private AI data centers for local AI processing. This webinar will explore different network fabric options and network design approaches to meet these new on-premises and hybrid cloud AI driven requirements and discuss the size of the potential market opportunity for AI-tuned DC networks.
During the webinar, you’ll learn:
- AI Networks – how big is the market opportunity?
- AI applications and their potential deployment locations (Cloud, Edge)
- AI workloads characteristics
- AI-tuned networks for multivendor deployments
- Economics of AI networks
Who should attend?
Switch System Vendors, Silicon Vendors, Optical Transceiver vendors, Colocation Facilities providers, Cloud and Telecom Service Providers, IT buyers and Decision Makers, and Enterprise CIO and CTO
Meet the Speakers:
Cliff Grossner, Ph.D.
Chief Innovation Officer, Open Compute Project Foundation (OCP)
Dr. Grossner has more than 25 years of telecommunications industry experience encompassing scientific research, market analysis, corporate and product strategy, product management and marketing. At the OCP, Cliff will lead its market intelligence function and is responsible for driving new innovation programs including guiding inventors developing their early-stage company ideas, setting strategic direction and building awareness of OCP, establishing new alliances, and launching new activities in OCP’s Future Technologies Initiative. Previously, Dr. Grossner was head of the Cloud and Data Center Research Practice at Omdia, responsible for research quality across the practice and his research was focused on cloud services, data center compute and networking, and data center infrastructure. Prior to Omdia, he held senior positions in the information and communications technology industries, including heading strategic marketing for Alcatel-Lucent's enterprise network business, tenures at Bell Labs, Nortel and several early-stage companies. He earned his Doctor of Philosophy at McGill University, and his Master of Science in Computer Science at Concordia University, both in Montreal, Quebec, Canada, having been awarded national scholarships to support his graduate work. He holds more than 10 patents in computer networking, networking embedded security and telecommunications applications.
Sameh Boujelbene
Vice President, Dell'Oro Group
Sameh Boujelbene joined Dell’Oro Group in 2011, where she currently oversees research in the areas of Ethernet Campus Switch, Ethernet Data Center Switch, and AI Networks for AI Workloads. During her tenure at the firm, Ms. Boujelbene expanded her research programs to address data center interconnect, AI/ML workloads, and digital transformation. She has published articles and been cited in various industries and trade publications, and she is a frequent speaker at industry conferences and events.
Praful Lalchandani
VP Data Center Product Management, Juniper Networks
Praful Lalchandani is the VP of Product Management for Juniper's Data Center Platforms & AI solutions. Praful has over 20 years of technical, product management, and leadership experience delivering products and solutions for core routing, cybersecurity, edge computing, and SaaS cloud services. In his current role, Praful is responsible for the vision and strategy of Juniper's data center switching solutions with a an emphasis on defining and delivering advanced AI/ML networking solutions that streamline LLM training and optimize AI inference delivery.