Vertiv Targets Up to 30% More Cumulative AI Token Output in First 12 Months Using NVIDIA DSX, Polar Deploys Approach at Norway Site
Key Highlights
- ➤Vertiv (VRT), NVIDIA introduce AI factory approach targeting up to 30% more first-year token output
- ➤Pre-engineered reference designs cut modeled configuration and validation time from 30 days to three
- ➤Factory-built infrastructure cuts modeled deployment time from 90 days to 45
- ➤Polar Data Centers applies approach to first 41 MW Herøya phase, scalable to 100 MW
- ➤Combined modeled timeline falls from 120 days to 48, bringing capacity online about 10 weeks sooner
Expert Statements
Giordano Albertazzi, CEO of Vertiv
“An AI factory earns its return in tokens, and every day spent configuring infrastructure or integrating it on site is output that never comes back”
Giordano Albertazzi, CEO of Vertiv
“Success depends on how quickly operators can move from requirements to productive AI capacity. By starting with pre-engineered reference designs that can be rapidly configured and validated, then extending that approach through factory-built deployment, we help customers reduce complexity, deploy infrastructure faster and bring AI capacity online sooner. Polar Data Centers is demonstrating how that approach can be applied at scale in a real-world AI factory deployment.”
Vladimir Troy, Vice President of AI Infrastructure at NVIDIA
“AI factories must be designed as one system, and the NVIDIA Vera Rubin DSX AI Factory reference design helps teams align compute, power and cooling requirements from the outset.”
Vladimir Troy, Vice President of AI Infrastructure at NVIDIA
“With the NVIDIA Omniverse DSX Blueprint, companies such as Vertiv and Dassault Systèmes can simulate these systems together and carry an integrated design into physical deployment, helping operators resolve conflicts earlier and bring productive AI capacity online sooner.”
Stéphane Sireau, Vice President, High-Tech Industry, at Dassault Systèmes
“With Vertiv and NVIDIA, we're accelerating AI factory design and deployment by engineering the factory as one system – compute, networking, power and cooling co-designed and co-simulated in a virtual twin.”
Stéphane Sireau, Vice President, High-Tech Industry, at Dassault Systèmes
“Integration issues get resolved before construction, not on site, helping bring token-producing capacity online sooner.”
Andy Hayes, CEO of Polar Data Centers
“Our customers measure us on how quickly capacity is ready for them.”
Andy Hayes, CEO of Polar Data Centers
“At Herøya, Vertiv's factory-built infrastructure helps us manage the complexity of deploying power, cooling and white-space systems for high-density computing. It gives us a more disciplined, repeatable deployment model while preserving the flexibility to meet the requirements of our customers.”
Vertiv Targets Up to 30% More Cumulative AI Token Output in First 12 Months Using NVIDIA DSX, Polar Deploys Approach at Norway Site PR Newswire
Pre-engineered reference designs enable configuration and validation up to 10x faster, combined with factory-built infrastructure for faster deployment, integrated with Dassault Systèmes' 3DEXPERIENCE agentic platform
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