Power Integrations has unveiled new details on the capabilities of its PowiGaN gallium-nitride technology designed to power the next generation of AI data centers. The company outlined the performance and system-level advantages of its 1250 V and 1700 V PowiGaN devices in a white paper released at the 2025 OCP Global Summit in San Jose, where NVIDIA provided an update on the emerging 800 VDC data center architecture.
The paper demonstrates how Power Integrations’ high-voltage PowiGaN HEMTs enable compact, high-efficiency 800 VDC power conversion systems with efficiency exceeding 98 percent. The company’s 1250 V PowiGaN switch delivers superior performance compared to stacked 650 V GaN FETs and conventional 1200 V silicon carbide (SiC) devices, offering greater power density, lower switching losses, and proven field reliability.
Power Integrations also highlighted its InnoMux-2 EP integrated circuits as an advanced solution for auxiliary power systems in 800 VDC data center designs. Featuring an integrated 1700 V PowiGaN switch, the device supports input voltages up to 1000 VDC and achieves over 90 percent efficiency in compact, fanless liquid-cooled architectures.
According to Roland Saint-Pierre, vice president of product development at Power Integrations, the industry’s move toward 800 VDC architectures addresses rising power demands in AI data centers by simplifying rack designs, improving space utilization, and reducing copper use. He emphasized that the company’s 1250 V and 1700 V PowiGaN devices are ideally suited to meet the efficiency, reliability, and power-density requirements of these high-performance systems.
Power Integrations is currently the only company supplying 1250 V and 1700 V GaN switches in high-volume production. Since introducing its first GaN ICs in 2018, the company has shipped more than 175 million GaN devices across a wide range of applications, including data centers, electric vehicles, and fast chargers.
The introduction of PowiGaN technology for 800 VDC data centers marks a significant step toward more efficient, scalable, and sustainable power conversion systems to support the rapidly growing energy demands of AI computing infrastructure.
Original – Power Integrations