ABOUT THIS EPISODE
In this episode of The Deep Edge Podcast, host Ray Mota, Ph.D. speaks with Will Eatherton, Cisco’s engineering leader driving the future of AI-optimized networking.
They dive deep into:
• Cisco’s AI-ready data center strategy
• Silicon One evolution & optical innovation
• Adaptive routing, congestion control & GPU fabric design
• Cisco + NVIDIA partnership and what it means for AI clusters
• SONiC openness, multi-cloud integration & operational simplification
• HyperFabric, LPO/CPO optics, and the shift from training to inference at scale
Video link: https://youtu.be/39X2-BIL9sE
WIll's Bio:
As the SVP of the Data Center, Internet & Cloud Infrastructure Engineering team, Will leads a wide-ranging group responsible for data center, web, and service provider solutions. This group encompasses cutting-edge technologies, longstanding Cisco product lines, and the recently launched Cisco 8000 series.
Will initially joined Cisco in 2000 with the acquisition of Growth Networks. During his early years at Cisco, Will expanded his expertise in routing systems architecture and co-authored several patents on packet processing. In 2013, Will co-founded Skyport Systems, a cloud technology pioneer addressing industry gaps in cloud-managed secure virtualized systems. In 2018, Will returned to Cisco with the acquisition of Skyport Systems. With his return, Will has led the Cisco Networking Engineering team, bringing with him a wealth of industry knowledge and experience.
Will is an active technology researcher, author, and speaker. His most recent speaking engagements include sessions on high-performance ethernet fabrics for AI infrastructure and enabling enterprise generative AI with ethernet AI networking.
Will has a Master’s degree in Electrical Engineering from Washington University in St. Louis, MO, and a Bachelor’s in Electric Engineering from the Missouri University of Science and Technology.
