Nvidia partners with major energy companies to build flexible AI factories that respond to grid needs

Nvidia, Emerald AI team with energy companies on "flexible" data centers

Why it matters: The effort reflects a growing push to turn AI data centers from massive power consumers into more dynamic grid participants, as electricity demand from AI surges. Driving the news: The companies -- including AES, Constellation, NextEra Energy, Invenergy and Vistra -- plan to collaborate on energy and infrastructure approaches to support so-called "flexible AI factories." * The design pairs Nvidia's new reference architecture with Emerald AI software that can adjust computing workloads in response to grid conditions. How it works: These facilities could ramp power use up or down during periods of grid stress, similar to demand response programs, rather than running at constant full capacity. * We wrote about the concept in depth last fall. Inside the room: Emerald AI CEO Varun Sivaram previewed the approach at a dinner hosted by Axios on Sunday on the sidelines of the massive CERAWeek energy conference getting underway Monday in Houston. * "The next generation of data centers, even if it has on-site generation, should be able to give back to the grid, give back to communities, help keep rates affordable and help to achieve grid reliability," Sivaram said. Yes, but: The announcement is light on firm project commitments or timelines, suggesting the effort is -- for now -- more of a framework for collaboration than a buildout plan. The intrigue: Other participants at Sunday's Axios dinner said building on-site power generation -- often referred to as "behind the meter," meaning it primarily (and sometimes exclusively) serves the facility -- is increasingly seen as critical as data center power demand soars. * "Behind the meter is not a choice -- it's a necessity," said Will Jordan, EQT chief legal and policy officer. What we're watching: How this debate unfolds this week at CERAWeek by S&P Global, considered the world's most influential energy conference.

Nvidia Partners With 6 US Energy Giants To Unlock 100 Gigawatts For AI - NVIDIA (NASDAQ:NVDA)

Nvidia Corp (NASDAQ:NVDA) announced a partnership with six major U.S. energy companies to build a new class of AI data centers designed to tap up to 100 gigawatts of underutilized capacity across the U.S. power grid. For the four publicly traded names in the deal, the partnership may offer a new revenue stream: selling flexible power services to AI data centers, on top of the demand tailwind that has already pushed Constellation and NextEra to Big Tech-level valuations. The facilities will run on Nvidia's Vera Rubin DSX AI Factory reference design, unveiled at GTC earlier this month, which includes DSX Flex software that lets data centers interact with power grids in real time. The group says the approach could unlock up to 100 gigawatts of stranded capacity across the U.S. power system. The conceptual flip matters: these AI factories can use co-located generation and battery storage as bridge power at launch, then supply electricity back to the grid during peak demand. Vistra CEO Jim Burke said AI factories with flexible power use are a faster solution for grid utilization, especially with co-located generation. Nscale's Daniel Shapiro said the company's West Virginia campus may scale from 2 to 8 gigawatts of onsite generation, positioning it as a power asset rather than a load. "AI factories are the engines of the intelligence era, and like any great engine, every system must be designed together -- energy, compute, networking and cooling as one architecture," Jensen Huang said. Nvidia's biggest problem right now isn't demand; it's that data centers can't get built fast enough. Grid interconnection queues are backing up projects for years. Every delayed facility is a facility that isn't buying GPUs. If DSX Flex lets AI factories come online faster by using bridge power before full grid connection, Nvidia moves more chips, faster. The moat isn't unchallenged. If Terafab delivers, it represents a major customer potentially walking away from Nvidia's ecosystem. Polymarket bettors give Nvidia a 66% chance of finishing 2026 as the world's largest company by market cap. The more interesting contract may be the AI Bubble Burst market, which prices a 21% chance of an AI industry downturn by year-end on $2.2 million in volume. One trigger: Nvidia's stock falling 50% from its all-time high. Deals like this one, locking in real energy infrastructure commitments behind AI capex, are exactly the kind of thing that keeps that number from climbing higher. Image: Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

NVIDIA Stock Gains After AI Factory Deal With Major US Energy Groups

NVIDIA Shares Rise as It Unveils Flexible AI Factory Power Partnership with Emerald AI NVIDIA shares rose 2.76% to $177.47 on March 23 after the company announced a new partnership with Emerald AI and several major energy firms to build AI factories that can connect to the US power grid faster. The move placed fresh attention on NVIDIA's role in AI infrastructure as demand for power, chips, and data center capacity continues to grow. NVIDIA said the project brings together AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power, and Vistra. The companies plan to support a new class of AI factories built with NVIDIA's Vera Rubin DSX AI Factory reference design and the DSX Flex software library. According to the , the system is designed to help AI sites come online sooner while also supporting the wider power grid.

Nvidia, Emerald AI Partner With Power Companies on New AI Factories

Nvidia and Emerald AI said they would work with several power producers to develop a new class of AI factories, designed to connect to energy grids faster and support power systems as surging demand for artificial intelligence strains electricity infrastructure. The facilities will operate as what the companies on Monday called flexible energy assets, supporting power grids by modulating consumption and leveraging on-site generation and storage. Participating energy companies include AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power, and Vistra. Nvidia said the facilities would use its Vera Rubin DSX reference architecture, alongside a software layer known as DSX Flex, which allows operators to align computing workloads with power availability. Emerald AI's Conductor platform will coordinate computing demand with on-site generation, batteries and other energy resources. The companies said projects could be deployed more quickly by using co-located generation and storage before securing full grid interconnection, with those resources later used to provide flexibility to the broader power system. Executives said flexible operation could help unlock additional capacity on the U.S. grid by reducing the need to build infrastructure sized for peak demand. "AI factories are the engines of the intelligence era, and like any great engine, every system must be designed together--energy, compute, networking and cooling as one architecture," Nvidia Chief Executive Jensen Huang said.