Vertiv Aligns with NVIDIA for 800 VDC AI Data Center Solutions

May 19, 2025
Vertiv has announced its strategic alignment with NVIDIA's AI roadmap to deploy 800 VDC power architectures for next-generation data centers, with solutions planned for 2026.
Vertiv Aligns with NVIDIA for 800 VDC AI Data Center Solutions

Vertiv has announced its strategic alignment with NVIDIA's AI roadmap to deploy 800 VDC power architectures for next-generation data centers, announced in a press release. Vertiv's 800 VDC solutions are designed to support NVIDIA's rack-scale compute platforms and are scheduled for release in the second half of 2026.

The new power architecture aims to enhance efficiency in AI environments by reducing copper usage, current, and thermal losses. Vertiv's upcoming portfolio will include centralized rectifiers, high-efficiency DC busways, rack-level DC-DC converters, and DC-compatible backup systems. This development is part of Vertiv's broader strategy to provide end-to-end power and cooling solutions for AI factories and data centers.

Vertiv's experience in DC power spans over two decades, with a history of deploying higher-voltage DC architectures across various industries. The company's 800 VDC portfolio is a continuation of its efforts to meet the demands of AI factories, offering both AC and DC architectures as a strategic differentiator in the evolving data center landscape.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.