The Next Frontier for AI Fabrics: Scale Across Networking

As AI training workloads and frontier models continue their exponential climb to support trillions of parameters and millions of AI accelerators, a harsh reality is setting in. Physical space constraints and restrictive power availability are a scarcity. This introduces the new dimension of pragmatic reality to move from centralized vertical stacks to horizontal distributed scale-across AI fabrics.