Enphase Energy Unveils Innovative IQ Solid-State Transformer for AI Data Centers

On April 28, 2026, Enphase Energy Inc. (NASDAQ: ENPH), a leader in global energy technology, announced a groundbreaking development in the form of its IQ® Solid-State Transformer (IQ SST). This innovative platform is specifically designed to cater to the evolving needs of AI data centers, which are increasingly adopting higher-density direct current (DC) power architectures.

The IQ SST represents a significant departure from conventional centralized power conversion methods. Enphase's new "supercluster" architecture consolidates power conversion into a distributed system where each 1.25 MW rack comprises 342 intelligent, semiconductor- and software-defined power modules. This configuration is projected to achieve an impressive efficiency rate of 98.5% and an availability level of 99.999%, thanks to built-in redundancy that allows the system to operate with just 90% of the power modules engaged.

One of the standout features of the IQ SST is its design, which eliminates the need for internal batteries, thereby reducing or even removing the reliance on rack-level battery sidecars and traditional uninterruptible power supply (UPS) systems. For data center operators, this translates to a significant reduction in power infrastructure requirements and a decrease in floor space occupied by electrical equipment. As space becomes increasingly valuable in data center environments, the ability to optimize real estate for more GPU installations can yield substantial economic benefits.

Badri Kothandaraman, President and CEO of Enphase Energy, highlighted the changing landscape of power delivery, stating, “AI is changing how power must be delivered to compute infrastructure.” The demands of AI workloads are pushing the boundaries of data center rack power from hundreds of kilowatts to megawatt-scale densities. The traditional 48 VDC and multi-stage conversion systems are simply not equipped to handle this new level of demand.

The IQ SST will convert medium-voltage AC—up to 35 kV and 15 kV interconnection classes—directly into regulated DC power in a single conversion stage, supporting both 800 VDC and ±400 VDC configurations. This single-stage approach promotes a rapid response to dynamic AI workloads, with sub-millisecond reaction times.

The power modules of the IQ SST are derived from Enphase's esteemed microinverter platform, now in its ninth generation. Central to each unit is the fifth-generation control ASIC, known as “Kestrel,” a custom 22-nanometer chip that enables swift, coordinated responses across numerous distributed power modules. The implementation of gallium nitride (GaN) power-switching technology, previously proven in Enphase’s IQ9™ Microinverters, allows for compact and efficient power conversion.

Enphase plans to manufacture the IQ SST using the same automated platform that has successfully shipped approximately 87.8 million microinverters, ensuring a robust supply chain that capitalizes on standard high-volume semiconductor components sourced from U.S. manufacturing facilities.

Enphase anticipates that the initial addressable market for the IQ SST in AI data centers in the U.S. could exceed 11 GW by 2031. The demand is driven by the increasing power densities of racks, the rapid fluctuations of AI workloads, and the industry’s shift towards 800 VDC and ±400 VDC architectures.

Looking ahead, Enphase sees potential for the distributed, semiconductor- and software-defined power conversion architecture to penetrate larger adjacent high-power markets. Full system demonstrations of the IQ SST platform are expected later this year, with customer pilot projects scheduled for 2027 and volume shipments anticipated in 2028.

Enphase Energy's announcement marks a pivotal moment in the intersection of AI technology and power infrastructure. By addressing the challenges posed by modern data centers, the IQ Solid-State Transformer is set to redefine how power is delivered to compute infrastructure, providing a scalable and efficient solution for the future of AI workloads. As the company continues to innovate, stakeholders in the energy and technology sectors will be keenly watching how this development unfolds.