YuanBrain Servers Fully Adopt GaN Titanium Power Supplies for High-Efficiency Computing
In a move to significantly improve power conversion efficiency in AI data centers, YuanBrain Servers has officially announced the full integration of Gallium Nitride (GaN) Titanium-grade power supplies, offering multiple options at 1300W, 1600W, and 2000W.
In a move to significantly improve power conversion efficiency in AI data centers, YuanBrain Servers has officially announced the full integration of Gallium Nitride (GaN) Titanium-grade power supplies, offering multiple options at 1300W, 1600W, and 2000W.
Why It Matters: Power Efficiency Bottlenecks in Data Centers
In modern data center infrastructure, power supplies play a critical role in converting external energy into usable power for IT equipment. While new distribution architectures such as HVDC (High-Voltage Direct Current) and Solid-State Transformers (SST) have helped boost system-level energy efficiency to 96–98%, the power supply unit (PSU) itself remains a weak link.
In typical 20%–50% workload scenarios—common in AI server clusters—traditional Platinum-rated PSUs only offer 90–94% efficiency, leaving a 4–8% energy loss gap that compromises overall energy optimization efforts. Example: A single 10MW intelligent computing center could waste over 9 million kWh of electricity per year due to inefficient PSUs. Improving efficiency by just 1% can result in savings of millions in electricity costs annually.
GaN Titanium PSUs vs Traditional Platinum PSUs
Traditional Platinum PSUs use silicon-based MOSFETs, which suffer from high-frequency switching losses, heat buildup, and lower efficiency.
In contrast, YuanBrain's GaN Titanium PSU solution features:
10x higher electron mobility than silicon, enabling MHz-level switching and up to 70% lower dynamic losses
1/5 the on-resistance of silicon devices, reducing heat output by 50%
Breakdown voltage up to 3.3 MV/cm, supporting high-voltage direct connection and eliminating multi-stage conversion losses
Real-World Benefits
Cooler operation = reduced need for active cooling = lower TCO
Higher power density = compact form factors for high-performance servers
Better efficiency at partial loads = significant energy and cost savings in AI workloads
Eco-friendly computing = lower carbon footprint for hyperscale data centers
Future Outlook
As AI computing power demands continue to surge, YuanBrain believes that the next-gen PSU trend will center around:
Higher power density
Greater efficiency across all load ranges
Larger output capacities
Wider adoption of GaN-based architectures
This evolution will help bridge the gap between system-level and component-level energy efficiency, setting a new standard for sustainable, high-performance server design.
