From News Desk
Vertiv, a provider of critical digital infrastructure, announced its collaboration with NVIDIA to accelerate the next generation of AI factories, detailing its design maturity for 800 VDC power architectures. Building on its strategic alignment announced in May 2025, Vertiv has significantly advanced its platform designs to accelerate its ‘unit of compute’ strategy, moving from concept to engineering readiness. The 800 VDC power portfolio is planned to release in the second half of 2026, aligning to support the 2027 rollout of NVIDIA Rubin Ultra platforms.
The datacentre industry is at a critical inflection point – Traditional 54 VDC in-rack distribution, designed for kilowatt-scale racks, cannot meet the megawatt-scale demands of accelerated computing. To address this, Vertiv and NVIDIA are collaborating on scalable Vertiv 800 VDC systems integrated with energy storage, creating the foundation for AI factories optimised for large-scale, synchronous AI and high-performance computing workloads. Vertiv is finalising its component specifications for comprehensive platform designs which include centralized rectifiers, high-efficiency DC busways and rack-level DC-DC converters engineered to support the megawatt scale rack demands of future NVIDIA compute.
“Larger AI workloads are reshaping every aspect of data center design,” said Scott Armul, Executive VP, global portfolio and business units, Vertiv. “Our systems-level expertise in both AC and DC-based power data center architectures positions us uniquely to address the unprecedented power demands of AI workloads. With the development of our Vertiv 800 VDC platform designs, we’re translating our extensive experience into next-generation solutions that will support the massive compute densities required for AI factories.”
“Powering the next generation of megawatt-scale AI factories requires a fundamental shift in power architectures,” said Dion Harris, Senior Director, HPC, Cloud and AI Infrastructure, NVIDIA. “NVIDIA and Vertiv are working closely together to develop the scalable and efficient power foundation needed to unlock the full potential of next-generation AI infrastructure.”
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