Next-Generation Data Centers Institute

A graphic that includes a set of powerlines and ones and zeroes in code.

Next-Generation Data Centers Institute

Oak Ridge National Laboratory’s Next-Generation Data Centers Institute (NGDCI) is a laboratory-led initiative to design, operate, and integrate next-generation AI data centers into the U.S. energy system.

Advancing secure, efficient, grid-integrated AI infrastructure aligned with national priorities

AI adoption is accelerating demand for electricity, cooling, advanced components, and secure digital systems. U.S. data centers already consume more than 4 percent of national electricity and could reach up to 17 percent by 2030.

Rapid additions of AI data centers are straining resources. Water use, waste heat, siting constraints, and supply chain vulnerabilities add complexity. Meanwhile, investment is surging. Analysts project trillions of dollars in global spending on advanced data center infrastructure this decade.

The nation needs solutions that align AI growth with reliability, affordability and security.

NGDCI is a mission-focused platform led by ORNL in support of national energy and AI priorities to:

Align AI data center growth with U.S. energy and security priorities

Coordinate across the laboratory’s unique expertise and facilities

Serve as a convening hub for collaboration across national laboratories, industry, utilities, and states

Move solutions from concept to real-world deployment with partners

It connects ORNL’s strengths in:

Energy research and grid modernization

Leadership-class computing and data infrastructure

Advanced manufacturing and building technologies

Transportation and infrastructure research

Cyber, hardware and energy security

This institute provides a structure that is broad in scope, interdisciplinary by design, and flexible enough to collaborate with other national laboratories, industry, utilities, and state partners.

The institute organizes its work around eight interconnected areas that support U.S. leadership in AI infrastructure.

A thermal image displays a building rooftop, highlighting heat loss and potential moisture damage.

Thermal Management

Develop next-generation cooling approaches—from direct-to-chip and two-phase liquid systems to heat recovery—to reduce energy and water use in high-density environments.

Illuminated power lines.

Power Systems Architecture

Redesign data center power flows using advanced power electronics, direct-current architectures and integrated energy storage to improve efficiency and reliability.

A graphic representing integration of artificial intelligence with the electrical grid.

Grid Integration

Use ORNL testbeds and modeling capabilities to ensure AI data centers support, rather than strain, the grid. Apply AI-driven controls and dynamic load coordination aligned with energy security needs.

A row of server racks in a data center facility.

Operations and Load Management

Develop intelligent platforms that optimize workloads, thermal performance and power use in real time, coordinating flexible AI loads with grid conditions.

Server racks in a data center with locks representing security overlaid.

Security by Design

Embed cyber-informed engineering into every layer of design and operation, addressing risks across hardware, software, supply chains and critical interfaces. Extend quantum-safe and advanced monitoring technologies into data center networks.

A group of people work together over an illustrated sketch on a table.

Integrated Systems Modeling

Assess impacts of AI infrastructure on energy demand, reliability, manufacturing capacity, workforce and supply chains. Provide decision-support tools for states, utilities and industry.

Oak Ridge National Laboratory campus, surrounded by hills and trees.

Lab as a Testbed

Use ORNL’s campus infrastructure and digital twin environments to evaluate cooling, power and control technologies under realistic conditions. These testbeds shorten development cycles and validate performance at scale before industry deployment.

A cargo ship loaded with containers is located next to a roadway, with an airplane flying overhead in the distance.

Supply Chain and Critical Materials

Strengthen the resilience of advanced computing and energy systems by identifying and developing materials that improve thermal performance, power electronics, and system reliability. This work helps reduce vulnerabilities in hardware supply chains and accelerates domestic innovation.

Focus Areas

NGDCI will integrate ORNL’s scientific expertise and world-leading facilities and equipment to develop scientific and technological solutions.

Energy Science

Delivering breakthroughs for a secure energy future

National Security

Solving critical challenges in cybersecurity and grid resilience

Supercomputing

Advancing computing and data capabilities for continued U.S. technological leadership

Facilities

Operating and optimizing ORNL’s critical computing and utility infrastructure

Physical Sciences

Conducting foundation science in chemistry, materials science, nanoscience, and physics

Frontier supercomputer.

Contact Us

Connect with the NGDC team on potential partnership or research opportunities, email [email protected].