NVIDIA and Emerald AI collaborate on flexible AI factories

Key Takeaways

• NVIDIA and Emerald AI collaborate to develop flexible AI factories that connect to the grid faster and generate valuable AI tokens and intelligence
• The partnership aims to advance a new class of AI factories that operate as flexible energy assets, supporting the grid and creating a more reliable power system
• The NVIDIA Vera Rubin DSX AI Factory reference design and Emerald AI's Conductor platform enable accelerated deployment and precise, grid-responsive power flexibility
• Power-flexible AI factories can unlock up to 100 gigawatts of capacity across the U.S. power system, reducing the need for broader grid expansion

Introduction to Flexible AI Factories

NVIDIA and Emerald AI have announced a collaboration to develop a new class of AI factories that can connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets. This partnership brings together technology, energy, and infrastructure leaders to support AI innovation in the United States while building a more reliable power system.

NVIDIA Vera Rubin DSX AI Factory Reference Design

The NVIDIA Vera Rubin DSX AI Factory reference design includes the DSX Flex software library, which enables AI factories to connect to power-grid services. This design allows for accelerated deployment and can support flexible AI factories with or without co-located energy resources. The DSX reference architecture can achieve larger and faster power grid connections, making it an ideal solution for AI factory development.

Emerald AI's Conductor Platform

Emerald AI's Conductor platform orchestrates computational flexibility alongside onsite generation, batteries, and other behind-the-meter resources to deliver precise, grid-responsive power flexibility. This coordination helps operators meet power targets, protect priority workloads, shorten time on bridge power, and support larger and faster interconnections. The Conductor platform can also reduce the need for infrastructure to be sized around peaks, easing pressure on future system costs.

Comparison of AI Factory Solutions

Building AI Factories that Strengthen the Grid

Today's electric systems are built to serve peak demand but are underutilized during most hours of the day. Power-flexible AI factories can help unlock up to 100 gigawatts of capacity across the U.S. power system by combining optimized infrastructure design with efficient use of existing assets and, where needed, new-build generation. By flexing during limited periods of grid stress, AI factories can reduce the need for broader grid expansion to support reliability.

Bottom Line

The collaboration between NVIDIA and Emerald AI has the potential to revolutionize the development of AI factories, enabling them to connect to the grid faster and operate as flexible energy assets. With the NVIDIA Vera Rubin DSX AI Factory reference design and Emerald AI's Conductor platform, AI factories can unlock up to 100 gigawatts of capacity across the U.S. power system, creating a more reliable and efficient power system for the future. As the demand for AI continues to grow, the development of flexible AI factories will play a critical role in supporting the grid and enabling the widespread adoption of AI technologies.