Tag
The article examines how outdated grid interconnection processes are the primary bottleneck slowing the massive AI infrastructure buildout, with projects like Stargate requiring enormous power but facing lengthy queues for grid connection.
This paper proposes the concept of the world wide AI-Model Network (AI-ModelNet), a novel paradigm for interconnecting, sharing capabilities, and enabling collaborative reasoning among diverse large models. The authors review current single- and multi-model research, present a hierarchical architecture, and validate feasibility through a prototype system and application cases.
FERC's large-load interconnection actions aim to speed grid connections for AI factories and data centers, improving affordability and reliability.