Powering the AI revolution

Intelligence to control the interface between the world's two most valuable infrastructure networks: power grids and data centers

A split image showing on the left a power line tower during sunset over open fields, and on the right a data center filled with server racks illuminated by digital graphics.

Emerald AI transforms energy-intensive data centers into AI-powered grid allies

Diagram showing data transmission from a power plant to data centers via AI processing.

The Emerald AI Conductor platform enables AI data centers to flexibly adjust their power consumption from the electricity grid on demand, orchestrating the computing loads of inference, training, and fine-tuning AI models across a network of data centers to bolster the power grid’s reliability while meeting strict compute performance standards.

Flexibility could unlock up to 100 GW, or more than a decade of U.S. AI data center growth and trillions in AI investment, without enormous investments in electric grids or power plants—advancing innovation and competitiveness, ensuring power affordability for communities across the country, and bolstering the reliability of the electric power system.

Results

  • NVIDIA: Results of Emerald AI Demo

    NVIDIA profiles its portfolio company, Emerald AI, and announces the results of a joint demonstration in Phoenix, Arizona, with Emerald AI, Oracle Cloud Infrastructure, Salt River Project, and EPRI.

  • Announcement: Launch and Results

    Emerald AI unveils the results of its first commercial demonstration of real-world AI power demand flexibility to relieve peak grid stress in Phoenix and announces $24.5M in seed funding.

  • Academic Article: Phoenix Results

    Colangelo et al., 2025 details the technical methodology and results of the Phoenix demo (preprint posted to the arXiv for early academic dissemination; article currently under peer review).

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