NVIDIA & VERTIV TARGET UP TO 30% MORE AI TOKENS WITH THE SAME CAPACITY $NVDA and $VRT announced a new AI factory deployment approach at GTC Berlin that could cut the time from project kickoff to productive capacity from 120 days to just 48 days. According to Vertiv's modeled estimates, this could result in up to 30% more cumulative AI token output in the first 12 months, without increasing installed computing capacity. Here's how the new approach works: • 10x Faster Design: NVIDIA's Vera Rubin DSX AI Factory reference design, Omniverse DSX Blueprint, and Vertiv's SimReady assets integrate with Dassault Systèmes' 3DEXPERIENCE platform to reduce configuration and validation time from 30 days to just 3 days. • 50% Faster Deployment: Vertiv's prefabricated OneCore and SmartRun infrastructure could reduce on-site power and cooling deployment from 90 days to 45 days. • 72 Days Saved: Combined, the approach could bring AI factories online approximately 10 weeks earlier, providing 317 productive days in the first year compared with 245 using conventional methods. • Real-World Deployment: Polar Data Centers is applying Vertiv's factory-built approach to the first 41 MW phase of its AI data center in Herøya, Norway 🇳🇴, with plans to scale the facility to 100 MW. • Factory-Built Infrastructure: Power, cooling, networking, and supporting systems can be designed and virtually validated before construction, with more assembly and testing completed off-site.