A New Battleground in AI Infrastructure Has Become the Connections Between Chips
As AI infrastructure investments grow rapidly, competition is shifting from individual chips to the systems that connect them at massive scale.
In the race to build AI infrastructure, the focus is evolving from acquiring the most powerful accelerators to interconnecting systems that bring together disparate chip architectures at massive scale.
Massive Increase in AI Investments
Global data center capital expenditures are projected to reach approximately $7 trillion by 2030, with $5.2 trillion of that spent on facilities supporting AI workloads.
Diversified Chip Ecosystem
Cloud providers are combining general-purpose graphics processors with custom accelerators optimized for their own workloads, while partnerships between companies like Google and Marvell are deepening.
Scaling Layers and Connection Systems
Scale-up layers, which manage high-speed intra-unit connections, and scale-out layers, which connect wider environments, play a critical role in ensuring that different chip architectures work together harmoniously.