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Home Technology Big Data, Analytics & Intelligence

Vertiv develops cooling and power reference architecture for the NVIDIA GB300 NVL72 platform

FutureCIO Editors by FutureCIO Editors
July 15, 2025
Image by Gerd Altmann from Pixabay

Image by Gerd Altmann from Pixabay

Vertiv has announced its cooling and power reference architecture for the NVIDIA GB300 NVL72 platform.

Available as SimReadyTM 3D assets in the NVIDIA Omniverse Blueprint for AI factory design and operations, it claims to provide a fully integrated, end-to-end cooling and power strategy, along with a customisable reference architecture, to reduce planning times and mitigate risk during the buildout process.

Scott Armul
Scott Armul

“Building upon our strong collaboration with NVIDIA and a shared vision to advance AI infrastructure, Vertiv is proud to release our comprehensive reference design and SimReadyTM 3D assets for the NVIDIA GB300 NVL72 platform,” said Scott Armul, executive vice president of global portfolio and business units at Vertiv.

Vertiv News Release 2

Key benefits of Vertiv’s reference architecture and SimReadyTM 3D assets for the NVIDIA GB300 NVL72 design include simulation to deployment in one path, and support for rack densities up to 142kW. It also claims to deliver 1.5 times more AI performance, up to 50% faster on-site builds, and in 30% less physical space, enabling customers to scale their AI infrastructure with agility and energy efficiency.

It is also liquid cooling-ready, supporting both air- and hybrid-cooled configurations, which achieve up to 70% better annual energy efficiency due to higher water temperatures. It also claims to provide scalability, serviceability, and supply chain reliability for global AI rollouts, backed by over 4,000 Vertiv field service engineers worldwide.

 Dion Harris
Dion Harris

“By combining NVIDIA’s advanced AI platforms with Vertiv’s expertise in power and cooling infrastructure, we’re enabling customers to deploy next-generation data centres that are more efficient, scalable, and ready for the most demanding AI workloads,” said Dion Harris, senior director of HPC and AI Infrastructure at NVIDIA.

Related:  Call to become data-driven
Tags: architectureArtificial Intelligencedigital transformationNvidiaVertiv
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