AI’s next bottleneck: moving data at scale
About
AI infrastructure is entering a new era: compute is getting denser, hotter, and more efficient. As a result, moving data across the network quickly and efficiently is becoming the real constraint.
This webinar explores why data movement is emerging as the next bottleneck in AI performance and why energy, thermal, interconnect, and site-level efficiency now define competitive advantage. We’ll examine the shift from electrical to optical connectivity, the rise of liquid cooling as racks break traditional power limits, and the emergence of scale-across architectures as AI clusters outgrow the boundaries of a single data center site.
Speakers
Clayton leads AI and High-Performance Computing field activities for the Network Infrastructure Group at Nokia. He previously has served in both the development and deployment of many major technology shifts, including broadband, metro Ethernet, and over-the-top video streaming. Additionally, he is a part of a non-profit foundation serving North America’s largest motion picture studio, where he consults on the intersection between technology and storytelling.
Ella Wilkinson is the Broadcast Editor at BizClik with almost a decade of media experience. Having worked across various forms of multi-media from TV, to visual journalism and event hosting. Ella's media career began in 2017, where she helped run two television stations in the East of England as an anchor and producer, followed by 5 years as a visual journalist and camera operator, and finally into events as a host and compere.
Register for the webinar here.
