Eco Wave Power and tech giant NVIDIA have been growing a bit more acquainted as the race for AI dominance continues.
Eco Wave Power, an onshore wave energy technology company, announced that its technology was featured for the second time in an NVIDIA GTC keynote presentation, this time during NVIDIA Founder and CEO Jensen Huang’s GTC Taipei 2026 keynote, highlighting the growing role of digital twins and simulation technologies in the optimization of real-world infrastructure.
The company also recently announced that its wholly owned subsidiary, Eco Wave Power U.S., has joined the NVIDIA Inception program, an initiative designed to support companies advancing artificial intelligence, data processing, simulation, and high-performance computing technologies.
During the GTC Taipei keynote, Eco Wave Power’s technology appeared as part of NVIDIA’s showcase of digital twin, simulation, and physical infrastructure applications. The presentation included a digital representation of Eco Wave Power’s wave energy technology, displaying operational wave and system parameters and demonstrating how simulation technologies can support the optimization of energy infrastructure.
The appearance comes as Eco Wave Power continues to advance the development of its wave energy project in Taiwan. Earlier this year, the Company’s local partner, I-Ke International Ocean Energy Co., secured the land use agreement for Eco Wave Power’s planned pilot installation at Suao Port, Taiwan.
Taiwan plays a central role in the global technology and semiconductor ecosystem and is increasingly at the forefront of AI infrastructure development. Eco Wave Power believes that intelligent renewable energy technologies, supported by digital twins, predictive analytics, and AI-based optimization tools, can play an important role in addressing the growing electricity demand associated with the expansion of AI infrastructure.
Through the NVIDIA Inception program, Eco Wave Power U.S. will gain access to NVIDIA developer tools, technical resources, training, and ecosystem support to accelerate the development of AI-driven applications for renewable energy infrastructure and intelligent energy management systems.
Eco Wave Power is currently evaluating the integration of artificial intelligence technologies into multiple aspects of its wave energy operations, including:
- Real-time optimization of wave energy generation
- Predictive maintenance and infrastructure monitoring
- Digital twin modeling of wave energy power stations
- AI-driven analysis of ocean and weather data
- Intelligent energy management for coastal and port infrastructure
- Renewable energy applications supporting AI and data center infrastructure
Eco Wave Power U.S. is expected to serve as the company’s central hub for AI-related initiatives and intelligent infrastructure development activities across Eco Wave Power’s global project portfolio.
As part of these efforts, Eco Wave Power U.S. is advancing discussions relating to research and development collaborations with academic institutions, including Florida-based universities, as well as additional technology and infrastructure stakeholders. These initiatives are expected to focus on the integration of AI layers into wave energy infrastructure, including digital twin technologies, predictive maintenance systems, operational optimization, and future applications relating to renewable energy solutions for data center infrastructure.
The company believes that “proximity-based renewable energy generation” near ports, coastal cities, and infrastructure hubs may become increasingly important as electricity demand from AI computing continues to grow.
“Infrastructure supporting artificial intelligence requires massive amounts of electricity, and we believe renewable energy generation must evolve alongside it,” said Inna Braverman, Founder and Chief Executive Officer of Eco Wave Power. “By joining the NVIDIA Inception program through our U.S. subsidiary, we aim to accelerate the development of intelligent energy management capabilities and explore opportunities at the intersection of renewable energy infrastructure and AI-driven energy demand.”
