Amentum Selected by NNSA for Integrated AI Data Center Project

Amentum has been selected by the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) to enter negotiations for a phased lease to construct an integrated artificial intelligence and energy infrastructure project at the Savannah River Site (SRS) in South Carolina. Once finalized, the public-private project will establish a 1-gigawatt artificial intelligence data center supported by approximately 2 gigawatts of on-site energy generation.

Phased Power Generation and Facility Infrastructure
The project framework utilizes a phased energy generation model to match high-density computing loads. Initial electrical generation will rely on natural gas power infrastructure, creating a bridge solution to support operational speed while advanced nuclear energy systems are developed and brought online. The co-located power generation architecture is engineered to deliver continuous electricity for high-throughput AI server clusters without placing demand constraints on external regional power grids.

National Security and Operational Capabilities
The initiative addresses the technical dependencies between artificial intelligence processing, energy resilience, and national defense applications. Advanced computing workloads require dedicated, resilient energy infrastructure to execute continuous processing routines.

John Heller, Chief Executive Officer of Amentum, stated that artificial intelligence, energy resilience, and national security are increasingly interconnected. Heller noted that the agreement with the NNSA leverages engineering expertise and government mission execution to build infrastructure supporting key national computing assets.

Public-Private Infrastructure Framework
The Savannah River Site data center development is structured to expand domestic AI computing capacity, increase localized power generation capacity, and demonstrate public-private partnership models for critical infrastructure deployment. The project provides a model for co-locating high-capacity data processing facilities directly alongside firm, dedicated energy generation assets.

Edited by Romila DSilva, Induportals Editor, with AI assistance.