Solis Unveils Hybrid Inverter and Smart AI Assistant at Intersolar 2025

Solis marked its 20th anniversary at Intersolar Europe 2025 by unveiling two revolutionary products that promise to redefine solar and storage technology: the world’s largest wall-mounted hybrid inverter and Solis AI, a smart energy assistant designed to optimize solar energy use for both residential and commercial applications.
125kW Hybrid Inverter: A Game-Changer for Commercial Energy Storage
The highlight of Solis’ presentation was the debut of the S6-EH3P(75–125)K10-NV-YD-H hybrid inverter, setting a new benchmark in commercial energy storage. This wall-mounted, high-voltage, three-phase solution is designed to maximize space efficiency and energy independence.
The 125kW hybrid inverter offers a range of key features designed to enhance commercial energy storage. It delivers the highest output in its class, ensuring robust energy delivery, and supports dual 100A charge/discharge currents with two independently controlled battery ports for added flexibility.
With 10 MPPTs and a 21A string current, it maximizes the adaptability of photovoltaic designs, providing flexibility for diverse installations.
The inverter also supports parallel operation of up to six units, reaching a total capacity of 750kW, and features a 2.0x overload backup capacity for increased reliability. Additionally, its advanced peak shaving capabilities in both self-use and generator modes optimize energy management and cost-efficiency.
Sandy Woodward, Solis Europe General Manager, said, “This innovation eliminates the traditional compromise between power and space requirements. We’re giving commercial operators the flexibility to maximize their energy independence while optimizing costs.”
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Solis AI: Intelligent Energy Management Simplified
Solis also introduced Solis AI, an integrated smart assistant within SolisCloud. This next-generation tool automates solar energy management, simplifying the process for users while maximizing efficiency.
Solis AI offers several key features designed to optimize energy management. Its forecast-driven charging optimization makes predictive adjustments for the most efficient energy storage, while the adaptive learning system continuously analyzes user behavior and energy patterns for seamless integration.