As enterprises race to build AI infrastructure, securing enough GPUs is only part of the equation. The real constraints on AI capacity lie in the infrastructure surrounding them, from power availability and cooling systems to advanced semiconductors, high-speed interconnects, and capital investment.
At the Japan Cloud & Datacenter Convention 2026, industry leaders will come together to explore the evolving cloud and data center landscape and the infrastructure challenges shaping the next phase of AI expansion.
Hear from Marc Einstein, Research Director at Counterpoint Research
Topic: From GPU Cluster to AI Factory: The Infrastructure Bottlenecks Enterprises Underestimate
Date: November 13, 2026
Location: Kiku Ballroom, Level 4, Hilton Tokyo, Tokyo, Japan
We're pleased to have our own Marc Einstein take the stage. In his presentation, Marc will examine five critical bottlenecks that enterprises often underestimate when planning AI infrastructure: power and site availability, rack design and cooling, silicon and memory supply, high-speed interconnects, and capital investment.
He will explain why the transition from GPU clusters to AI factories requires a broader infrastructure strategy, and what enterprises need to consider when planning capacity, evaluating infrastructure investments, and scaling AI workloads.
Contact us to schedule a meeting with our expert and register now to join the event.
