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Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Neutral)
Tags
AI

Eco Wave Power (NASDAQ:WAVE) is highlighted by NVIDIA for using NVIDIA AI infrastructure and digital twins to convert ocean waves into clean electricity via floaters attached to existing marine structures. Key focuses include AI-driven optimization, Omniverse-based simulations, and pilots powering coastal data centers.

The company operates projects in Jaffa Port and the Port of Los Angeles and is developing new sites in Portugal, Taiwan and India, aiming to align wave energy with growing AI and data center power needs.

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AI-generated analysis. Not financial advice.

Positive

  • Use of NVIDIA AI and Omniverse digital twins to optimize wave energy systems
  • Operational projects in Jaffa Port and Port of Los Angeles
  • New wave energy projects developing in Portugal, Taiwan and India
  • Data center pilot in Los Angeles aiming to run solely on wave power
  • Participation in NVIDIA Inception Sustainable Futures startup program

Negative

  • None.

News Market Reaction – WAVE

%
2 alerts
% News Effect
-12.5% Trough Tracked
$51.56M Market Cap
0.4x Rel. Volume

On the day this news was published, WAVE declined NaN%, reflecting a moderate negative market reaction. Argus tracked a trough of -12.5% from its starting point during tracking. Our momentum scanner triggered 2 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Wave energy potential: over 60% of annual energy consumption Seawater density: roughly 800x Current price: $8.83 +5 more
8 metrics
Wave energy potential over 60% of annual energy consumption U.S. wave energy potential cited from Energy Information Administration
Seawater density roughly 800x Density of seawater vs. air enabling higher energy from smaller devices
Current price $8.83 Price before this NVIDIA AI infrastructure news
Daily move 8.49% 24h price change prior to publication
Volume vs. average 3.06x Today’s trading volume relative to 20-day average
52-week range $4.41–$10.50 Reported 52-week low and high before this news
Distance from high -15.9% Price vs. 52-week high prior to article
Market cap $47,528,441 Equity value before NVIDIA AI blog feature

Peers on Argus

WAVE was up about 8% with volume over 3x its 20-day average, while key renewable...
1 Down

WAVE was up about 8% with volume over 3x its 20-day average, while key renewable peers showed mixed, mostly negative moves and only one peer appeared in momentum scans, suggesting a company-specific reaction to this NVIDIA-focused AI news.

Previous AI Reports

5 past events · Latest: Jun 08 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Jun 08 AI collaborations Positive -4.2% Exploratory AI-powered wave energy work with Florida Atlantic and Michigan universities.
Jun 04 AI summit participation Positive -0.9% Participation in Maxim Group AI Data Center Summit highlighting wave-powered AI infrastructure.
May 18 NVIDIA Inception entry Positive +7.6% Joining NVIDIA Inception program to advance AI-driven renewable energy infrastructure.
May 04 NVIDIA AI feature Positive +21.9% NVIDIA short film showcasing Eco Wave Power’s AI-driven wave energy optimization vision.
Apr 07 AI-linked production Positive -2.5% Reporting March wave power production and positioning for coastal AI infrastructure demand.
Pattern Detected

Recent AI-related headlines for WAVE have produced mixed reactions, with both sharp rallies and selloffs, indicating inconsistent trading responses to similar AI partnership and visibility news.

Historical Comparison

+4.4% avg move · In prior AI-tagged releases, WAVE moved on average about 4% with both sharp gains and pullbacks. Tod...
AI
+4.4%
Average Historical Move AI

In prior AI-tagged releases, WAVE moved on average about 4% with both sharp gains and pullbacks. Today’s NVIDIA AI infrastructure spotlight sits within that volatile pattern of reactions to AI-related visibility.

Same-tag history shows a progression from joining NVIDIA Inception to repeated NVIDIA features and AI collaborations, indicating a deepening integration of AI and digital twins into Eco Wave Power’s wave energy platform.

Regulatory & Risk Context

Short Interest: 0.18%
Short Interest
0.18% of shares outstanding
as of 2026-05-29 Days to cover: 1

Reported short interest is relatively low, implying limited short-squeeze fuel and generally lower short-driven volatility compared with more heavily shorted small-cap names.

Market Pulse Summary

This announcement reinforces Eco Wave Power’s NVIDIA-backed AI and digital twins strategy for coasta...
Analysis

This announcement reinforces Eco Wave Power’s NVIDIA-backed AI and digital twins strategy for coastal wave energy and data centers. Prior AI-tagged news has produced volatile moves, so execution progress and commercialization milestones remain key watchpoints alongside generally low short positioning.

Key Terms

digital twins, accelerated computing, agentic ai, predictive maintenance, +2 more
6 terms
digital twins technical
"developing technology - powered by NVIDIA AI infrastructure and digital twins - that converts energy"
Digital twins are virtual replicas of physical objects, systems, or processes that simulate their real-world counterparts in real time. They allow users to monitor, analyze, and predict how the actual entity will behave under different conditions. For investors, digital twins can provide valuable insights into performance and potential risks, helping to make better-informed decisions.
accelerated computing technical
"As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing"
Accelerated computing involves using specialized hardware, like graphics processors or other accelerators, to perform certain tasks much faster than traditional computers. This speeds up complex calculations, making processes more efficient and enabling faster decision-making. For investors, it means technological advancements that can improve the performance of data analysis, artificial intelligence, and other demanding applications, potentially leading to better business outcomes and competitive advantages.
agentic ai technical
"As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
predictive maintenance technical
"enable real-time optimization of wave energy systems through predictive analytics, anomaly detection, environmental forecasting and predictive maintenance"
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.
edge computing technical
"across AI factories, agentic AI, industrial AI, edge computing and physical AI"
Edge computing is a technology that processes data close to where it is generated, such as sensors or devices, rather than sending it all to a distant central location. This allows for faster decision-making and reduces delays, much like having a local office handle urgent matters instead of waiting for instructions from a main headquarters. For investors, it signifies improved efficiency and real-time insights, which can enhance the performance of technology-dependent industries.
nvidia omniverse technical
"Digital twins of wave patterns and floating infrastructure - built with NVIDIA Omniverse libraries"
NVIDIA Omniverse is a cloud and software platform that lets designers, engineers and AI systems work together in shared, photorealistic 3D virtual spaces—think of it as a collaborative digital workshop or blueprint where teams can build and test products and simulations in real time. It matters to investors because such a platform can create recurring software revenue, increase demand for specialized hardware and services, and help companies reduce development time and costs by allowing virtual prototyping and simulation before real-world production.

AI-generated analysis. Not financial advice.

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MIAMI, June 23, 2026 /PRNewswire/ -- Eco Wave Power is pleased to share that NVIDIA has published a corporate blog featuring the Company titled 'Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins.'

Read the full article: 
https://blogs.nvidia.com/blog/eco-wave-power-ai-digital-twins/

For convenience, the full text of the NVIDIA article is reproduced below:

Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins

June 22, 2026, by Tenika Versey Walker

The next era of AI will not be defined by compute alone. Its growth will be determined by energy.

As accelerated computing scales across AI factoriesagentic AIindustrial AI, edge computing and physical AI - including robotics and autonomous systems - global electricity demand is rising at unprecedented speed. 

In many regions, expanding grid infrastructure to meet that need requires years of permitting, transmission upgrades, land acquisition and capital investment.

This challenge is reshaping how the world thinks about energy infrastructure for AI.

Eco Wave Power, a member of the NVIDIA Inception startup program's Sustainable Futures initiative, is developing technology - powered by NVIDIA AI infrastructure and digital twins - that converts energy from ocean waves into clean electricity using existing marine infrastructure. By using already-built coastal structures, wave energy generation can be deployed closer to areas with growing power demand - including ports, industrial zones and future AI infrastructure hubs.

"Wave energy is one of the largest renewable energy sources that exists," said Inna Braverman, Co-founder and CEO of Eco Wave Power. "Everybody wants it, but nobody can do it, so I looked at the current problems with harnessing wave power and I asked: How do we simplify it?"

Turning the Sea Into a Power Source 

Harnessing Earth's natural cycles for power generation isn't a new concept. Wind and solar energy have been well established industries for decades. 

Waves are on the way to completing this trifecta of power-producing elements. 

In the U.S. alone, wave energy could produce over 60% of annual energy consumption, according to the Energy Information Administration. 

It all starts with floaters - noninvasive floating infrastructure attached to breakwaters or sea walls to capture the power generated by waves breaking against the shoreline. 

The density of seawater is roughly 800x the density of air, allowing larger amounts of energy to be generated using much smaller devices than wind turbines. 

The next step is managing and distributing that power. While previous companies faced a bottleneck at this stage - due to having their computer hardware in the floater, leading to potential damages during rough currents - Eco Wave Power puts its computers, sensors, hydraulic conversion and electric parts on land at centers, keeping expensive hardware dry and safe from storms. 

"Wave energy is the least intermittent source of renewable energy," Braverman said. "Solar energy - for example - is great, but you have night, winter, cloud coverage and pollution that all impact production. With wave energy, you can generate around the clock." 

AI Wave Energy Layer Using NVIDIA Omniverse Libraries and Accelerated Compute

As AI infrastructure expands, energy systems themselves are becoming increasingly intelligent.

Digital twins of wave patterns and floating infrastructure - built with NVIDIA Omniverse libraries - can simulate wave conditions, structural behavior, deployment configurations and operational scenarios before physical installation begins. These virtual environments can help optimize engineering decisions, reduce deployment risk and accelerate infrastructure planning.

See the Video Player embedded within the NVIDIA corporate blog: https://www.youtube.com/shorts/ypkGqP-jclA

At the operational layer, NVIDIA accelerated computing and AI technologies enable real-time optimization of wave energy systems through predictive analytics, anomaly detection, environmental forecasting and predictive maintenance. AI models can continuously analyze ocean conditions, equipment performance and energy generation patterns to improve efficiency and operational resilience.

AI can also orchestrate energy-aware computing infrastructure by aligning energy-intensive workloads with periods of stronger renewable generation and dynamically optimizing power utilization across distributed systems. 

Ocean Powered Data Centers on the Horizon 

Eco Wave Power operates projects in Jaffa Port, Israel, created in collaboration with EDF Power Solutions and the Israeli Energy Ministry, and in the Port of Los Angeles, developed in collaboration with AltaSea and Shell. Eco Wave Power is also developing new projects in Portugal at the Port of Leixões, Suao Port in Taiwan, and Mumbai, India, with Bharat Petroleum. 

Wave power has already demonstrated its ability to handle consumer energy needs — and is now showing potential to support data centers. 

"We have a possibility to link AI factories directly to wave energy, because a lot of data centers are moving toward the coast," Braverman said. "They need cooling and water, so they're now located in ports." 

Pilots are already underway at the port of Los Angeles to showcase how wave energy can be the sole power source for a data center without tapping into the existing grid energy.

AI software serves as the control layer for this data center pilot, planning compute tasks based on the available power supply. For example, the software can monitor and predict when waves will be stronger throughout the week based on weather patterns - and accordingly allocate more intensive compute tasks for these periods. 

"We exist, we work, we're grid connected and we have so much of this resource," Braverman said. "The energy is needed now, so I think we're in the right place at the right time and we're innovative, but we're not futuristic, and that's what sets us apart." 

Explore how NVIDIA is driving the future of energy.

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

Press inquiries:
info@ecowavepower.com

Note: Information available on or through the website 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 (NASDAQ: WAVE) is using forward-looking statements in this press release when it discusses the possibility the Company can link wave energy directly to AI factories and data centers, its development of new projects in Portugal, Taiwan, and India, and the possibility of wave energy to serve as a sole power source for data centers without tapping into the existing grid. 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
Photo: https://mma.prnewswire.com/media/2998927/Eco_Wave_Power_pilot.jpg
Photo: https://mma.prnewswire.com/media/2998926/Jaffa_Station_during_storm.jpg
Photo: https://mma.prnewswire.com/media/2998925/Eco_Wave_Power_Digital_Twin_by_NVIDIA.jpg
Logo: https://mma.prnewswire.com/media/2993116/Eco_Wave_Power_Logo.jpg

 

 

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/eco-wave-power-turns-waves-into-watts-with-nvidia-ai-infrastructure-and-digital-twins-302807750.html

SOURCE Eco Wave Power Global AB (publ)

FAQ

What did Eco Wave Power (WAVE) announce on June 23, 2026 about NVIDIA AI?

Eco Wave Power announced it is featured by NVIDIA for using NVIDIA AI infrastructure and digital twins in its wave energy systems. According to Eco Wave Power, NVIDIA Omniverse libraries support digital twins that simulate wave conditions, structural behavior and deployment scenarios before physical installation.

How does Eco Wave Power (WAVE) use NVIDIA digital twins in its wave energy projects?

Eco Wave Power uses NVIDIA Omniverse-based digital twins to model wave patterns and floating infrastructure before deployment. According to Eco Wave Power, these simulations help optimize engineering decisions, reduce deployment risk and accelerate planning by testing configurations and operational scenarios in virtual environments first.

Where are Eco Wave Power (WAVE) projects and pilots currently located?

Eco Wave Power reports operational projects in Jaffa Port, Israel, and the Port of Los Angeles in the United States. According to Eco Wave Power, additional projects are being developed in Portugal’s Port of Leixões, Suao Port in Taiwan, and Mumbai, India, with local partners.

How could Eco Wave Power (WAVE) support AI data centers with wave energy?

Eco Wave Power is piloting a project at the Port of Los Angeles to power a data center solely with wave energy. According to Eco Wave Power, AI software schedules compute tasks based on predicted wave strength, aligning energy-intensive workloads with periods of higher renewable generation.

What is Eco Wave Power’s (WAVE) core technology for generating electricity from waves?

Eco Wave Power uses floaters attached to existing breakwaters or sea walls to capture wave energy near shore. According to Eco Wave Power, key computer, sensor, hydraulic and electrical components are placed on land, keeping expensive hardware dry, accessible and protected from damaging storm conditions.

How does Eco Wave Power (WAVE) describe the reliability of wave energy?

Eco Wave Power describes wave energy as less intermittent than solar, generating power around the clock in many conditions. According to Eco Wave Power, waves avoid issues like night, winter and cloud coverage that affect solar, supporting more continuous renewable electricity for grids and AI infrastructure.