--- 格式版本: 2 标题: "Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins | NVIDIA Blog" 原文链接: "https://blogs.nvidia.com/blog/eco-wave-power-ai-digital-twins/" 发布日期: "2026-06-30" 发布时间校准状态: "found" 发布时间来源: "llm:strict_original_body" 发布时间证据: "time class=related-news-date nvidia-article-date datetime=2026-06-30T08:00:57-07:00: Jun 30, 2026" 发布时间校准原因: "该日期来自HTML metadata中的article-date字段，且位于标题附近，符合文章发布时间的特征。" 发布时间校准置信度: "1" 发布时间候选数量: 36 发布时间严格候选数量: 12 发布时间原页读取状态: "原页面来自已抓取 HTML" 发布时间未找到原因: "候选日期无效或 LLM 未确认" 发布时间校准时间: "2026-07-20T16:06:10+08:00" 发现时间: "2026-07-20T15:35:42+08:00" 入库时间: "2026-07-20T08:10:33.315Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://blogs.nvidia.com/" 匹配关键词: [] 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "AgentKey Scrape" 清洗工具: "AgentKey Markdown + LLM 正文裁剪" 原始附件: [] AI优质: "否" AI打分: 38 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主要讨论波浪能发电与数字孪生，仅泛泛提及AI工厂能耗和数据中心沿海部署，未涉及超节点/AI Rack/机柜级系统架构、关键部件或具体技术细节，与项目核心主题相关性极低。" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T16:10:33+08:00" AI主题相关性: 5 AI来源权威性: 12 AI新颖性: 10 AI技术细节: 3 AI商业部署信号: 5 AI完整性: 3 图片摘要: - "★ ./assets/img-56f6d104.jpg | screenshot | Eco Wave Power数字孪生界面，展示附着于防波堤的波浪能转换装置阵列，含液压预充压力与浪高实时数据。" - "✗ ./assets/img-83d2f103.jpg | other | 文章底部推荐阅读配图，主题为AI基础设施能效，与正文海浪能主题无关。" - "✗ ./assets/img-1f6575f1.png | diagram | 文章底部推荐阅读配图，主题为NVIDIA Vera CPU，与正文无关。" - "✗ ./assets/img-3511966c.jpg | photo | 文章底部推荐阅读配图，展示NVIDIA园区，与正文无关。" - "✗ ./assets/img-e47e99dc.png | infographic | 文章底部推荐阅读配图，主题为推理软件栈成本，与正文无关。" 采集批次: "2026年7月20日15点35分34秒" 采集批次ID: "20260720-153534-409" 去重键: "https://blogs.nvidia.com/blog/eco-wave-power-ai-digital-twins" --- 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 factories](https://www.nvidia.com/en-us/glossary/ai-factory/), [agentic AI](https://www.nvidia.com/en-us/glossary/ai-agents/), [industrial AI](https://www.nvidia.com/en-us/glossary/industrial-ai/), edge computing and [physical AI](https://www.nvidia.com/en-us/glossary/generative-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](https://www.nvidia.com/en-us/startups/) startup program’s Sustainable Futures initiative, is developing technology — powered by NVIDIA AI infrastructure and [digital twins](https://www.nvidia.com/en-us/glossary/digital-twin/) — 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, cofounder 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](https://www.nvidia.com/en-us/omniverse/?utm_source=chatgpt.com) 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. Video Player 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.” ![图片](./assets/img-56f6d104.jpg) 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*](https://www.nvidia.com/en-us/industries/energy/)*.* ![图片](./assets/img-56f6d104.jpg)