The AI factory is no longer a future concept. It is rapidly becoming the operating model for next-generation digital infrastructure.

But while the industry has become highly effective at designing AI environments on paper, the real challenge begins when high-density systems move into live production. Ultra-dense compute clusters, liquid cooling architectures, evolving power topologies, and massive interconnection demands are pushing infrastructure into operational territory few organizations have managed at scale before.

This panel brings together leaders across hyperscale operations, construction delivery, interconnection ecosystems, and AI systems architecture to examine what it actually takes to build, integrate, and operate AI infrastructure under real-world conditions.

Discussion topics include:

• What operational issues emerge first when AI workloads go live at scale

• How teams are adapting to liquid cooling and ultra-high-density deployments

• Where commissioning, integration, and operational handoffs create the greatest risk

• How networking, workload placement, and infrastructure orchestration are reshaping day-two operations

• Why operational execution is becoming a defining competitive advantage in AI infrastructure

As AI infrastructure evolves into industrial-scale production environments, the question is no longer simply who can design the AI factory — but who can successfully run it.