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TI Teams with NVIDIA to Bring Efficient Power Distribution to AI Infrastructure
May 26, 2025 | Texas InstrumentsEstimated reading time: 1 minute
Texas Instruments technologies will help enable NVIDIA's future 800V high-voltage DC power-distribution systems for next-generation AI data centers.
Texas Instruments (TI) today announced it is working with NVIDIA in the development of power management and sensing technologies for 800V high-voltage direct current (HVDC) power distribution systems for data center servers. The new power architecture paves the way for more scalable and reliable next-generation AI data centers.
With the growth of AI, the power required per data center rack is predicted to increase from 100kW today to more than 1MW in the near future.1 To power a 1MW rack, today’s 48V distribution system would require almost 450lbs of copper, making it physically impossible for a 48V system to scale power delivery to support computing needs in the long term.2
The new 800V high-voltage DC power-distribution architecture will provide the power density and conversion efficiency that future AI processors require, while minimizing the growth of the power supply’s size, weight and complexity. This 800V architecture will enable engineers to scale power-efficient racks as data-center demand evolves.
“A paradigm shift is happening right in front of our eyes,” said Jeffrey Morroni, director of power management research and development at Kilby Labs and a TI Fellow. “AI data centers are pushing the limits of power to previously unimaginable levels. A few years ago, we faced 48V infrastructures as the next big challenge. Today, TI’s expertise in power conversion combined with NVIDIA's AI expertise is enabling 800V high-voltage DC architectures to support the unprecedented demand for AI computing.”
“Semiconductor power systems are an important factor in enabling high-performance AI infrastructure," said Gabriele Gorla, VP of System Engineering of NVIDIA. "NVIDIA is teaming with suppliers to develop an 800V high-voltage DC architecture that will efficiently support the next generation of powerful, large-scale AI data centers."
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