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America's Future Power Grid: AI-Driven Factories Accelerate Innovation

New collaboration between tech and energy giants aims to speed up factory integration into power grids, boost grid reliability.

23-03-2026 |


New collaboration between tech and energy giants aims to speed up factory integration into power grids, boost grid reliability.

HOUSTON – At CERAWeek 2026, NVIDIA and Emerald AI have announced an ambitious collaboration that brings together some of the world’s leading energy companies to advance a new class of AI-driven factories. This partnership includes AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power, and Vistra.

AI-Driven Factories: A New Era in Manufacturing

The collaboration aims to accelerate the integration of these advanced manufacturing facilities into America’s power grid. By leveraging NVIDIA's Vera Rubin DSX AI Factory reference design, combined with Emerald AI’s Conductor platform, these factories will not only generate valuable intelligence but also operate as flexible energy assets that can support broader grid reliability.

The key innovation lies in the ability of these AI-driven facilities to connect seamlessly and quickly to power-grid services. The DSX Flex software library plays a crucial role here by facilitating this connection, ensuring that AI factories are not just producers of goods but also contributors to the energy ecosystem.

Flexible Energy Assets for Grid Reliability

The approach taken by these companies is multifaceted and forward-thinking. For accelerated deployment, co-located energy generation and storage act as a bridge power solution for hybrid AI factories. These resources can later be harnessed to supply the grid flexibly, accelerating interconnection processes while providing support during peak demand periods.

Emerald AI’s Conductor platform takes this concept further by orchestrating computational flexibility alongside onsite generation, batteries, and other behind-the-meter resources. This orchestration ensures precise power delivery that is both responsive to grid needs and maintains the quality of service for AI compute tenants. The result is a more reliable and resilient power system.

Moreover, the DSX reference architecture can support flexible AI factories even without co-located energy resources, enabling larger and faster connections with the broader power network. This flexibility not only speeds up deployment but also enhances overall grid reliability by providing diverse sources of energy supply during critical times.


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