As AI ambitions accelerate, a hard reality is setting in: the next phase of competitive advantage won’t be defined by models alone - but by the infrastructure that powers them. In this keynote, Professor Jason Mars unpacks the growing compute constraints shaping the AI landscape and why system-level innovation is becoming the true battleground.

From the rise of micro data centers to new approaches in distributed and edge computing, this session explores how rethinking system design can unlock performance, efficiency, and scalability in ways traditional architectures cannot. Mars will connect the dots between infrastructure strategy and real-world AI deployment - highlighting why enterprises that optimize across the full stack will outpace those focused solely on algorithms.

Expect a forward-looking perspective on how to architect AI infrastructure for speed, cost-efficiency, and resilience - and why winning in AI increasingly depends on how intelligently your systems are designed.