Vertiv unveils 142kW AI data centre design for NVIDIA GB300

Vertiv has introduced a 142kW cooling and power reference architecture for the NVIDIA GB300 NVL72 platform, aiming to facilitate higher density and energy efficiency in data centres supporting advanced AI workloads.

This new reference architecture is designed for customisation in bespoke data centre environments to reduce both planning times and risks associated with modern data centre buildouts. Vertiv's solutions are now available as SimReady 3D assets within the NVIDIA Omniverse Blueprint, supporting AI factory design and operations through digital simulation and validation.

Reference architecture capabilities

The architecture supports rack densities of up to 142 kW and offers integrated end-to-end cooling and power strategies for AI-driven data centre deployments. These capabilities address the increasing requirements of data centres as AI workloads become more prevalent and power consumption rises accordingly.

Vertiv collaborates closely with NVIDIA on developing AI infrastructure strategies and designs that anticipate higher rack power densities. The company is developing support for 800 VDC data centre power infrastructure, including 1 MW IT racks and beyond, with these solutions anticipated to be available starting in 2026.

The Vertiv 360AI infrastructure platform, under which the new reference architecture is based, aims to help customers meet the demands of powering and cooling AI workloads and other high-performance computing requirements.

Simulation and deployment path

One of the key aspects of Vertiv's solution is the emphasis on digital simulation to streamline deployment. Leveraging NVIDIA Omniverse technologies, the architecture bridges physical and digital environments, enabling real-time collaboration and allowing data centre teams to test and optimise their designs before construction.

The reference architecture for the NVIDIA GB300 NVL72 has several highlighted benefits: it allows simulation to deployment in a unified workflow; it is built to support the increasing power and cooling needs of large-scale AI operations; and it promises accelerated performance, scale, and speed, claiming to deliver 1.5 times more AI performance, up to 50% faster on-site builds, and operation in 30% less physical space compared to traditional data centre builds.

The system is also liquid cooling-ready and adaptable to air- and hybrid-cooled configurations, enabling up to a 70% improvement in annual energy efficiency by operating at higher water temperatures. Vertiv's global reach, with over 4,000 field service engineers, underpins its capability to support large-scale, international rollouts of the reference architecture for GB300 NVL72.

Industry collaboration

Vertiv's announcement reflects the ongoing collaboration between the companies as they seek to equip data centres to meet the evolving requirements of AI infrastructure. Dion Harris, Senior Director of HPC and AI Infrastructure at NVIDIA, provided additional detail:

"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. Together, we're helping organisations unlock new levels of performance and sustainability as they build the future of AI."

As AI-generated workloads continue to accelerate on a global scale, data centre providers and operators are seeking new infrastructure strategies to meet demand efficiently and with a view to sustainability. Vertiv's latest reference architecture, together with its SimReady assets, is positioned to enable deployment-ready designs that anticipate future industry requirements.

The company continues to develop energy-efficient solutions for cooling and power delivery in response to the escalating computing needs of next-generation AI applications, focusing on digital optimisation and global serviceability across data centre deployments.