Matrix Power Technologies Raises Series A From StarCharge to Power AI Data Centers

Why It Matters

Power consumption is emerging as the next AI infrastructure bottleneck, and Matrix's high‑voltage DC approach could redefine data‑center efficiency and cost structures. Its progress may shift market share away from entrenched UPS vendors toward specialized DC architectures.

Key Takeaways

• Series A raised eight‑figure RMB from StarCharge.
• Targets high‑density AI data‑center power with 400‑800 V DC.
• Market for data‑center power equipment projected 700 bn RMB by 2028.
• Competes with Delta, Lite‑On; offers full‑stack HVDC solutions.
• Engaged with Google, Meta; planning North American expansion.

Pulse Analysis

The rapid expansion of AI workloads is stretching traditional data‑center power supplies, which were designed for modest, predictable loads. As GPU clusters scale to megawatt‑class consumption, operators face higher energy costs, space constraints, and slower response times from legacy UPS‑battery systems. Industry analysts forecast a RMB 700 billion market for power‑equipment by 2028, driven largely by the need for higher efficiency and denser power delivery. This macro trend creates a fertile environment for innovators targeting the power bottleneck rather than the compute bottleneck.

Matrix Power Technologies leverages deep expertise from Huawei’s power‑electronics division to deliver a full‑stack, high‑voltage DC platform. Its product suite spans 54 V in‑rack supplies, 400 V/800 V external HVDC modules, and a solid‑state transformer that can step down 10 kV grid power directly to 800 V DC, achieving efficiencies above 97.5 %. By eliminating multiple conversion stages, the architecture reduces losses and shortens load‑response times to sub‑millisecond levels—critical for AI training spikes. Compared with incumbents like Delta Electronics, which dominate with legacy UPS solutions, Matrix offers a more compact, scalable alternative tailored to AI‑native servers.

The Series A capital injection not only validates Matrix’s technology roadmap but also fuels its push into the U.S. market, where cloud giants such as Google and Meta are already evaluating 800 V DC‑native servers slated for deployment around 2027. Securing contracts with these players could accelerate adoption of high‑voltage DC standards, reshaping supply chains and creating new revenue streams for component manufacturers. As AI compute continues to outpace Moore’s Law, power‑centric startups like Matrix are poised to become pivotal infrastructure providers, influencing both cost structures and the geographic distribution of future AI factories.

Deal Summary

Shanghai‑based Matrix Power Technologies completed a Series A round, raising an eight‑figure RMB sum from investor StarCharge. The funding will support R&D, overseas expansion, and working capital for its AI data‑center power systems. Zen Advisory acted as the company's long‑term financial adviser.