Enterprise storage becomes AI memory as privately run models close in on the frontier

What happened

“There’s been more maturity about the usage of models in private AI. You find that whether it’s closed models or open-weight (a model whose trained parameters anyone may download) (published so anyone may download the trained model) models, they’re getting close to the frontier,” Dhawan said. As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own.

That shift puts the data already sitting in corporate storage at the center of the private AI conversation. Many organizations are now moving AI out of pilot projects and […] The post Enterprise storage becomes AI memory as privately run models close in on the frontier appeared first on SiliconANGLE .

UPDATED 07:26 EDT / OCTOBER 02 2026 AI Enterprise storage becomes AI memory as privately run models close in on the frontier by Ryan Stevens As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own. Many organizations are now moving AI out of pilot projects and into production built on intelligent data infrastructure . The past two years went largely into getting sprawling data estates ready for AI, which is why productivity gains are now landing across industries, according to Ashish Dhawan (pictured, left), senior vice president, general manager and chief revenue officer of the Cloud Business Unit at NetApp Inc.