Friedberg: Enterprise AI architecture moves to local models and on-prem spokes
David Friedberg · AI Sovereignty Wars, Palantir-Nvidia Deal, SCOTUS Birthright Ruling, Newsom’s CA Budget Lie · Jul 3, 2026 · at 17:30
David Friedberg, CEO of Ohalo, explains why major corporations will develop in-house AI models fine-tuned on open source and run inference on-premise.
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“I think what everyone's realizing is they're better off Developing their own weights and their own models using either an open source basis, or there might be some intermediary business model that evolves, meaning there will end up being several large hubs that do all of the core foundational model development, then smaller hubs, meaning like clusters for training that enterprises will use to train and develop their own proprietary advantaged models using their own data. And then there will be these much more distributed spokes because I think everyone's also realizing the value of on-prem by putting a set of servers and building a cluster in your own data center or even in your own enterprise, you know, IT closet. You can run a lot of the workflows that you're using AI for your enterprise locally.”
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