Delta Electronics Unveils AI Data Center Microgrid Solution at Energy Taiwan 2025

Oct 30, 2025
Delta Electronics introduced its AI Data Center Microgrid Solution at Energy Taiwan 2025, featuring solid-state transformers with 98.5% efficiency and an integrated architecture designed to handle rapid load changes in AI data centers.

Taipei-based Delta Electronics introduced its AI Data Center Microgrid Solution at Energy Taiwan 2025, announced in a press release. The system integrates multiple on-site energy sources and is designed to maintain power quality and stability under high-intensity AI workloads.

The microgrid solution includes Delta’s new solid-state transformers, achieving up to 98.5% efficiency by optimizing AC to DC conversion. It combines energy storage systems and microgrid controllers that coordinate renewables, generator sets, and hydrogen fuel cells. The setup can respond to 100% step-load changes within milliseconds while maintaining voltage regulation.

Delta also presented its AI-enabled energy solutions for industrial and commercial users, featuring the liquid-cooled C Series all-in-one energy storage system. Each cabinet provides 125 kW and 261 kWh capacity, supporting modular expansion and integration with hybrid PV inverters. The company’s U Series 5-MWh-class energy storage system was also showcased for utility-scale deployments.

The exhibition, held from October 29 to 31 at the Nangang Exhibition Center in Taipei, displayed Delta’s broader portfolio of smart energy technologies for AI data centers, heavy-duty EV charging, and energy advisory services.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Guide
Private AI chip companies, by latest reported valuation

Private AI chip companies, by latest reported valuation

Private companies building AI compute silicon (the chips that run AI workloads), shown with each company's most recent reported or disclosed valuation. The figures are measured on different dates and bases, so this is a snapshot, not a live ranking or a like-for-like comparison.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.