Ampace Showcases AI Continuity Infrastructure at DCW London 2026

March 12, 2026
Ampace presented its AI Continuity Infrastructure at DCW London 2026, highlighting the PU Series for handling volatile AI workloads and semi-solid LFP cell technology for improved safety and stability in data centers.

Ampace demonstrated its AI Continuity Infrastructure at DCW London 2026, highlighting new power systems designed to maintain stability under demanding AI workloads, announced in a press release. The company showcased its PU Series, which is engineered to handle rapid GPU load swings and high rack densities while maintaining reliable power output.

The PU Series features high-rate capability and cabinet-level stability to support continuity in AI-driven environments. Its design includes natural cooling at the module level to manage thermal pressure and sustain performance during continuous computational loads.

Ampace also presented its semi-solid LFP cell technology, which removes free electrolyte from the cell structure to improve safety and reduce leakage risks. Testing shows a 58% reduction in thermal runaway gas release compared to conventional LFP cells. The system has received UL 9540A certification for fire propagation resistance.

The company stated that its AI Continuity Infrastructure is already in use across multiple regions, including India, China, Korea, Japan, and Indonesia, supporting AI-focused data centers that operate under high-density and high-temperature conditions.

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:

Subscribe to Silicon Brief

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

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more