FREMONT, Calif., September 15, 2026 - Delta Electronics, a global leader in power management and smart green solutions, today announced its development to speed up the deployment of AI factories based on NVIDIA DSX. The NVIDIA DSX AI Factory Platform brings together reference designs, open software, accelerated computing systems, facilities infrastructure and partner technologies in a codesigned platform for AI factory design, deployment and operations. Delta brings the physical infrastructure bridge between energy availability and compute productivity — connecting onsite energy, facility power, row and rack-level power and cooling, as well as chip-level solutions, enabling customers to accelerate token production and ultimately generate higher AI yield from every available megawatt.
"AI factory economics begin with a simple question: how much intelligence can be produced from every available megawatt?" said Austin Tseng, President of Delta Electronics Americas. "The answer depends on more than facility power alone. Power quality, GPU load transients and heat must be engineered together all the way into the rack. Delta and NVIDIA connect those layers — energy, power, cooling and components — allowing AI factory operators to reach time-to-first-token sooner and optimize token output at scale."
“AI factories must be designed as complete systems, with power, cooling and compute working together,” said Vladimir Troy, vice president of AI infrastructure at NVIDIA. “Delta’s expertise in 800 VDC power delivery and liquid cooling will help customers deploy AI factories based on NVIDIA DSX faster and get more AI performance from every megawatt.”
Engineering Across Energy to the AI Rack
Delta integrates power and thermal management infrastructure across facility gray space and IT space. At the facility level, Delta integrates energy storage systems (ESS), solid-state transformers (SST) and medium-voltage infrastructure to store, convert and distribute the power required by high-density AI workloads. Across the IT space, Delta integrates 800 VDC power delivery with row-to-chip liquid cooling, aligning power flow and heat removal with the dynamic demands of high-density GPU computing. For AI factories based on NVIDIA DSX, this system-level approach helps close integration gaps between facility and IT infrastructure.
Engineering Through the Rack to the Chip
Delta's 800 VDC power architecture reduces conversion stages between facility power and compute, and delivers up to 98% power conversion efficiency while responding rapidly to GPU load transients. High-density In-Row systems deliver up to 800 kW in a single power rack, while tailored battery and capacitance backup technologies support transient stability. At the board level, Delta's 800 VDC DC-DC power distribution technology steps down directly to 50 VDC or 12 VDC with peak efficiency up to 98.5%. Coordinating these technologies reduces electrical losses, heat generation, copper requirements and stranded capacity while reclaiming valuable white space for compute.
The same design continuity applies to thermal management. Delta's portfolio spans 2.4 MW and 3 MW liquid-to-liquid cooling distribution units, In-Rack cooling, and thermal solutions for next-generation AI racks. By coordinating electrical and thermal infrastructure at the facility, row, rack, and component levels, Delta helps power and cooling systems meet the density and operating requirements of AI factories based on NVIDIA DSX.
Prefabrication Accelerates Time to First Production
To accelerate AI factory deployment, Delta applies prefabrication and modular design to physical infrastructure. Delta’s Prefabricated AI Modular Data Center Solution integrates 800 VDC In-Row Power and 3 MW of liquid-cooling capacity into infrastructure blocks assembled and tested in the factory. Moving more integration and validation offsite reduces onsite complexity, streamlines commissioning and supports phased capacity expansion as demand grows.
Delta’s system-level engineering and prefabricated delivery approach connect infrastructure design with execution—making constrained power more usable, accelerating the path to productive GPU capacity and supporting reliable token output at scale.
Watch the
video to learn more about Delta’s work supporting NVIDIA AI factory infrastructure and its energy-to-compute solutions.