2nd largest law firm buying Nvidia hardware to fine-tune open weights in-house

Latham & Watkins, the second largest US law firm, is buying Nvidia hardware to fine-tune open-weight models in-house, according to a post on X by Anand Iyer. Iyer framed the move as an "enterprise sovereign AI stack" combining open weights, proprietary data, and local compute. The purchase keeps the firm's data on its own infrastructure rather than relying on a centralized AI provider.

anand iyer on X: "Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house. Open weights + proprietary data + local compute = enterprise sovereign AI stack." / X anand iyer on X: "Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house. Open weights + proprietary data + local compute = enterprise sovereign AI stack." Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house. Open weights + proprietary data + local compute = enterprise sovereign AI stack. Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house. Open weights + proprietary data + local compute = enterprise sovereign AI stack. Literally how it should be done .. Why give a centralized company that much access to your data .. Once you are reliant on them it will be extremely hard to leave Ive told my network this for a long time, have echoed it here and that spammy professional social network as well. Local models, trained, augmented for specific use cases are the future, not god-like LLMs that know everything about everything, you included.