NVIDIA and Emerald AI Join Leading Energy Companies to Pioneer Flexible AI Factories as Grid Assets

NVIDIA and Emerald AI Join Leading Energy Companies to Pioneer Flexible AI Factories as Grid Assets

By NVIDIA
Publication Date: 2026-03-23 11:00:00

NVIDIA

Collaboration Combines AI Factory Design, Energy Resources and Flexibility to Speed Time to Power and Support Grid Reliability

NVIDIA and Emerald AI

NVIDIA and Emerald AI today announced that they are working with AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra to power and advance a new class of AI factories that connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets that can support the grid.
NVIDIA and Emerald AI today announced that they are working with AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra to power and advance a new class of AI factories that connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets that can support the grid. · GlobeNewswire Inc.

HOUSTON, March 23, 2026 (GLOBE NEWSWIRE)CERAWeek 2026 — NVIDIA and Emerald AI today announced that they are working with AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra to power and advance a new class of AI factories that connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets that can support the grid.

By bringing together technology, energy and infrastructure leaders, the collaboration demonstrates how companies across industries can convene to support AI innovation in the United States, while building a more reliable power system for Americans.

These next-generation AI factories will harness the new NVIDIA Vera Rubin DSX AI Factory reference design, which includes the DSX Flex software library for connecting AI factories to power-grid services.

For accelerated deployment, the factories can use co-located energy generation and storage as…