Eco Wave Power U.S. Joins NVIDIA Inception Program to Advance AI-Driven Renewable Energy Infrastructure

Rhea-AI Summary

Eco Wave Power (NASDAQ: WAVE) announced that its U.S. subsidiary has joined the NVIDIA Inception program to advance AI-driven renewable energy infrastructure. The company plans AI integration for real-time optimization, predictive maintenance, digital twins, ocean-data analysis, and intelligent energy management, with Eco Wave Power U.S. serving as the central AI hub and pursuing R&D collaborations with Florida-based universities and other stakeholders.

News Market Reaction – WAVE

+7.58%

4 alerts

+7.58% Session close to close

+5.5% Peak Tracked

-3.4% Trough Tracked

$55.48M Market Cap

0.1x Rel. Volume

In the May 18 session, WAVE gained 7.58%, reflecting a notable positive market reaction. Argus tracked a peak move of +5.5% during that session. Argus tracked a trough of -3.4% from its starting point during tracking. Our momentum scanner triggered 4 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved +7.6% in the session following this news. A strong positive reaction aligns with pri...

Analysis

The stock moved +7.6% in the session following this news. A strong positive reaction aligns with prior AI-related catalysts that sometimes produced sharp gains, such as NVIDIA media exposure with moves above 14%. However, history also shows negative follow-through on other AI headlines, indicating choppy sentiment. Investors monitoring this theme often watch how quickly AI partnerships translate into concrete projects and revenue, as enthusiasm without visible progress has previously coincided with pullbacks.

Previous AI Reports

4 past events · Latest: May 04 (Positive)

Same Type Pattern 4 events

Date	Event	Sentiment	24h Move	Catalyst
May 04	AI/NVIDIA feature	Positive	+21.9%	NVIDIA short film spotlighting AI-driven modeling of wave energy floaters.
Apr 07	AI-linked production	Positive	-2.5%	March Jaffa Port output highlighting potential to power coastal AI data centers.
Mar 18	GTC AI keynote	Positive	-4.7%	GTC keynote demo of AI digital twins for coastal wave energy integration.
Mar 17	GTC AI segment	Positive	+14.0%	NVIDIA GTC keynote video showing AI simulation for coastal renewable power.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged news has produced volatile, mixed reactions, with two strong rallies and two selloffs despite broadly positive narratives.

Recent Company History

Over recent months, Eco Wave Power has repeatedly linked its wave energy platform to AI and data center demand. NVIDIA-focused visibility, including GTC keynote features and a short film, highlighted digital twin modeling and AI-driven optimization. Some AI news, such as the NVIDIA short film on May 4, 2026, saw strong positive moves, while other AI updates around Jaffa Port production and GTC exposure drew negative reactions, underscoring inconsistent trading responses.

Key Terms

artificial intelligence, high-performance computing, digital twin modeling, predictive maintenance, +3 more

7 terms

artificial intelligence technical

"support companies advancing artificial intelligence, data processing, simulation"

Artificial intelligence is the ability of computers and machines to perform tasks that typically require human thinking, such as understanding language, recognizing patterns, or making decisions. For investors, it matters because AI can enhance efficiency, uncover new insights, and enable smarter strategies, potentially impacting the value and performance of companies that develop or utilize this technology.

high-performance computing technical

"simulation, and high-performance computing technologies."

A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

digital twin modeling technical

"Digital twin modeling of wave energy power stations"

A digital twin is a live virtual replica of a physical asset, system, or process that uses real-time data and simulation to mirror how the real thing behaves. Think of it like a flight simulator for a factory, power plant, or product: engineers can test changes, spot problems, and predict failures without touching the actual equipment. For investors, digital twins can lower operating costs, reduce downtime, guide capital spending, and signal faster innovation or competitive advantage.

predictive maintenance technical

"Predictive maintenance and infrastructure monitoring"

Predictive maintenance involves using data and technology to monitor equipment or machinery in real time, identifying potential problems before they cause failures or breakdowns. By predicting when maintenance is needed, it helps prevent costly repairs and downtime. For investors, it highlights how companies can reduce expenses, improve efficiency, and maintain reliable operations, which can positively impact financial performance.

intelligent energy management technical

"intelligent energy management systems."

A system of sensors, software and automated controls that monitors and adjusts how a building, factory or grid uses electricity, heat and fuel to lower costs, cut waste and keep operations running smoothly. Think of it as a smart thermostat for an entire facility that shifts usage away from expensive times, integrates renewable sources, and alerts managers to problems — factors that can improve profit margins, reduce regulatory risk and boost asset value for investors.

data center infrastructure technical

"renewable energy solutions for data center infrastructure."

Data center infrastructure includes the physical equipment and systems—such as servers, storage devices, power supplies, cooling systems, and networking hardware—that support the storage, management, and transmission of digital information. It forms the foundation for cloud services, online platforms, and digital operations, making it essential for the functioning of many modern businesses. For investors, understanding data center infrastructure helps gauge a company's technological capabilities and its ability to handle increasing digital demand.

renewable energy infrastructure technical

"applications for renewable energy infrastructure and intelligent energy"

Renewable energy infrastructure is the physical network of facilities and equipment — such as wind turbines, solar farms, battery storage, hydro plants and the power lines and substations that move electricity — that produces and delivers clean power. Investors care because these long-lived, tangible assets can generate steady revenue over many years, act like toll roads for energy, and offer exposure to the transition away from fossil fuels as well as potential policy and regulatory risks.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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MIAMI, May 18, 2026 /PRNewswire/ -- Eco Wave Power Global AB (publ) (NASDAQ: WAVE), a leading onshore wave energy technology company (the "Company" or "Eco Wave Power"), announced today that its wholly owned subsidiary, Eco Wave Power U.S. Inc. ("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.

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 leading 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 the rapid global expansion of artificial intelligence and high-performance computing infrastructure is expected to significantly increase electricity demand worldwide, creating growing demand for scalable and reliable renewable energy solutions.

The Company further 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."

Eco Wave Power U.S.'s participation in the NVIDIA Inception program follows Eco Wave Power's recent visibility within NVIDIA-related initiatives, including an appearance during a keynote presentation by NVIDIA Founder and CEO Jensen Huang, alongside visibility across NVIDIA digital and social media channels focused on sustainability and AI innovation.

NVIDIA Inception is a global program designed to help companies accelerate innovation through access to cutting-edge technologies, technical guidance, training resources, and venture capital ecosystem opportunities.

About Eco Wave Power Global AB (publ)

Eco Wave Power Global (NASDAQ: WAVE) is a pioneering onshore wave energy company that converts ocean and sea waves into clean, reliable, and cost-efficient electricity using its patented technology. By generating renewable power directly from existing coastal infrastructure such as breakwaters, jetties, and piers, Eco Wave Power enables sustainable electricity production in close proximity to coastal cities, ports, and energy-intensive infrastructure.

As global electricity demand continues to rise, driven in part by the rapid growth of artificial intelligence, data centers, and digital infrastructure, Eco Wave Power is positioning its technology as a scalable, nearshore renewable energy solution capable of supporting next-generation power needs.

With a mission to accelerate the global transition to renewable energy while supporting the next generation of digital and industrial infrastructure, Eco Wave Power developed and operates Israel's first grid-connected wave energy power station, recognized as a "Pioneering Technology" by the Israeli Ministry of Energy and co-funded by EDF Power Solutions. In the United States, the Company recently launched the first-ever onshore wave energy pilot station at the Port of Los Angeles, in collaboration with Shell Marine Renewable Energy.

Eco Wave Power is expanding globally with projects planned in Portugal, Taiwan, and India, representing a project pipeline of 404.7 MW. The Company has received international recognition and support from organizations including the European Union Regional Development Fund, Innovate UK, and the EU Horizon 2020 program, and was honored with the United Nations Global Climate Action Award.

Eco Wave Power's American Depositary Shares (ADSs) are traded on the Nasdaq Capital Market under the ticker symbol "WAVE."

Watch the video: https://m.youtube.com/shorts/ypkGqP-jclA?ra=m

For more information, please visit:
www.ecowavepower.com

Press inquiries:
info@ecowavepower.com

Note: Information available on or through the websites mentioned herein does not form part of this press release.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995 and other Federal securities laws. For example, the Company is using forward-looking statements in this press release when it discusses its expectations regarding Eco Wave Power U.S. serving as the Company's central hub for AI-related initiatives, its belief that the expansion of AI and high-performance computing infrastructure will increase electricity demand and demand for renewable energy solutions, and its belief that proximity-based renewable energy generation may become increasingly important as AI computing demand grows. Forward-looking statements can be identified by words such as: "anticipate," "intend," "plan," "goal," "seek," "believe," "project," "estimate," "expect," "strategy," "future," "likely," "may," "should," "will", or variations of such words, and similar references to future periods. These forward-looking statements and their implications are neither historical facts nor assurances of future performance and are based on the current expectations of the management of Eco Wave Power and are subject to a number of factors, uncertainties and changes in circumstances that are difficult to predict and may be outside of Eco Wave Power's control that could cause actual results to differ materially from those described in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Except as otherwise required by law, Eco Wave Power undertakes no obligation to publicly release any revisions to these forward-looking statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events. More detailed information about the risks and uncertainties affecting Eco Wave Power is contained under the heading "Risk Factors" in Eco Wave Power's Annual Report on Form 20-F for the fiscal year ended December 31, 2025 filed with the SEC on March 12, 2026, which is available on the SEC's website, www.sec.gov, and other documents filed or furnished to the SEC. Any forward-looking statement made in this press release speaks only as of the date hereof. References and links to websites have been provided as a convenience and the information contained on such websites is not incorporated by reference into this press release.

Video: https://www.youtube.com/watch?v=ypkGqP-jclA

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/eco-wave-power-us-joins-nvidia-inception-program-to-advance-ai-driven-renewable-energy-infrastructure-302774659.html

SOURCE Eco Wave Power Global AB (publ)

FAQ

What did Eco Wave Power (NASDAQ: WAVE) announce on May 18, 2026 about the NVIDIA Inception program?

Eco Wave Power announced its U.S. subsidiary joined the NVIDIA Inception program to support AI-driven renewable energy innovation. According to Eco Wave Power, the program provides access to developer tools, technical resources, training, and ecosystem support for AI-focused energy infrastructure projects.

How will Eco Wave Power U.S. use NVIDIA Inception benefits to develop AI for wave energy operations (WAVE)?

Eco Wave Power plans to use NVIDIA Inception support to accelerate AI applications across its wave energy operations. According to Eco Wave Power, priorities include real-time generation optimization, predictive maintenance, infrastructure monitoring, and digital twin modeling for wave energy power stations and coastal infrastructure.

What AI applications is Eco Wave Power (WAVE) exploring for renewable energy and data center infrastructure in 2026?

Eco Wave Power is exploring AI for intelligent energy management and renewable solutions supporting AI and data center infrastructure. According to Eco Wave Power, efforts include AI-driven analysis of ocean and weather data and optimization of proximity-based generation near ports and coastal cities.

What role will Eco Wave Power U.S. play in the company’s global AI and intelligent infrastructure strategy (WAVE)?

Eco Wave Power U.S. is expected to serve as the central hub for AI-related initiatives. According to Eco Wave Power, this includes intelligent infrastructure development across its global project portfolio and advancing collaborations with academic, technology, and infrastructure partners.

Is Eco Wave Power (NASDAQ: WAVE) planning R&D collaborations with Florida universities following its NVIDIA Inception entry?

Eco Wave Power is advancing discussions for R&D collaborations with leading Florida-based academic institutions. According to Eco Wave Power, these initiatives target AI layers for digital twins, predictive maintenance, operational optimization, and renewable energy solutions for data center and infrastructure demand.

How does Eco Wave Power (WAVE) view AI-driven electricity demand and its impact on renewable energy projects?

Eco Wave Power believes AI and high-performance computing will significantly increase global electricity demand. According to Eco Wave Power, this may raise the importance of scalable, proximity-based renewable generation near ports, coastal cities, and infrastructure hubs to support AI-related energy needs.