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 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. “There’s been more maturity about the usage of models in private AI. You find that whether it’s closed models or open-weight models, they’re getting close to the frontier,” Dhawan said. “That’s where our AIPod Mini with Iterate can really work well.” Dhawan, Brian Sathianathan (center), co-founder and chief technology officer of Iterate Studio Inc., doing business as Iterate.ai, and Jon Nordmark (right), co-founder and chief executive officer of Iterate.ai, spoke with theCUBE’s Christophe Bertrand at NetApp INSIGHT, during an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the...

In this exclusive interview, UCLA OLB Juju Walls talks about where the team is now, his progress in gaining weight and strength, winning weekly awards, playing hard on the scout team, and a lot more.