Latham & Watkins, the second-largest US law firm, is purchasing Nvidia hardware to fine-tune open-weight AI models in-house using proprietary data, enabling an enterprise sovereign AI stack that keeps data local rather than relying on centralized AI companies.
A discussion on how Anthropic and OpenAI's decision to slow frontier AI development pace won't significantly impact overall AI and data-center growth. The slowdown applies only to the most advanced model training while enterprise AI deployment and inference computing—which are projected to dominate data-center demand by 2030—will continue accelerating.