Alderbuck Energy To Deploy Nexus Power Unit At San Diego Supercomputer Center
KUALA LUMPUR, June 24 (Bernama) -- Alderbuck Energy, a power conversion and intelligent energy management solutions developer, announced that its Nexus Power Unit (NPU) will be deployed at the San Diego Supercomputer Center (SDSC) at the University of California San Diego.
According to Alderbuck Energy in a statement, the NPU is a cutting-edge medium-voltage solid-state transformer (SST) platform designed to enable the next generation of smart grids, where multiple assets and complex power flows can be managed in concert.
Part of the California Energy Commission-funded project, Accelerating Grid-Interactive, Flexible Data Centers in California, the deployment will generate operational field data on a 12-kilovolt (kV) alternating current (AC)-to-800-volt direct current (VDC) architecture to help data centres address rising artificial intelligence (AI) rack densities, power-system complexity and grid coordination requirements.
Alderbuck Energy Chief Strategy Officer, Kimberly McGrath said California is positioned to lead the next wave of AI infrastructure, both for large centralised data centre campuses and more distributed facilities.
“This deployment is designed to show how medium-voltage-to-800 VDC power infrastructure can help operators bring high-density compute capacity online faster while maintaining the reliability data centres require,” she said.
The company said its technology addresses key obstacles to AI capacity deployment, including time to power, electrical footprint, power-system complexity, uptime risk, supply chain issues and coordination with local utilities.
The demonstration will evaluate power-architecture targets, including a four per cent energy-efficiency improvement, more than a 50 per cent reduction in power equipment footprint and over 50 per cent faster power-system installation compared with conventional 480-VAC data centre power architecture.
The modular architecture is intended to support deployment scenarios where utility capacity, electrical footprint and commissioning timelines constrain AI growth, including greenfield campuses, expansions, retrofits and distributed inference sites.
Before installation at SDSC, the SST will undergo factory testing and utility-scale laboratory validation. Hardware-in-the-loop simulations using AI workload profiles will also be conducted to de-risk live operation before deployment in the data centre environment. Grid-responsive operation will then be evaluated within operator-defined reliability, workload and service-quality constraints.
-- BERNAMA