Omen AI 以 1600 万美元收购 Aquatic Labs,整合数据中心冷却水监测技术
Omen AI adds liquid know-how in $16 million Aquatic Labs acquisition
- 1Omen AI 以 1600 万美元现金加股票收购竞品 Aquatic Labs,整合双方互补的实时水质传感技术
- 2美国数据中心每年用 170 至 190 亿加仑水冷却芯片,Water Foundation 预计五年内将增至三倍
- 3Omen 年内传感器将覆盖耗电 250 至 300 MW 的芯片,价值约 50 至 70 亿美元,目标 2027 年底达 1 GW
- 4监控价值在减少停机,运营商遇冷却液失控通常直接排空换水,实时监测可延长使用并降低清理成本
AI 算力扩张的约束正从芯片供给延伸到水和冷却系统,冷却液实时监测正成为数据中心运营降本的一个新环节。
- 影响:数据中心规模扩张后用水与停机成本同步上升;冷却液失控时运营商宁可排空停机也不冒损坏设备的风险,监测能力直接影响这笔隐性成本;整合后的传感器预计明年初上市。
- 参考:运营数据中心或托管机房的企业可考虑先算出一次排空换水与停机的实际成本,再对比传感器部署收益;整合后的传感器预计明年初上市,届时可评估试点场景。
- 依据:年用水量 170 至 190 亿加仑及三倍增长预测出自 Water Foundation;250 至 300 MW 覆盖规模为 Omen 创始人对 TechCrunch 的自述,尚无独立验证。
US data centers use 17 to 19 billion gallons of water to cool their hot-running chips each year — and that number is expected to to triple in the next five years, according to the Water Foundation.
That’s an expensive and politically tricky proposition for investors throwing billions of dollars at the challenge of scaling up AI. One way to use less water is to do a better job monitoring the cooling fluids, a task that currently involves sending samples away to a laboratory for tests in a multi-day process.
Omen AI was founded in 2024 to solve that problem. The company is building a real-time sensor to determine whether valves were failing, or if bacteria growth in the system threatened to choke off water flow. After raising a $31 million Series A in June, Omen is now acquiring competitor Aquatic Labs in a $16 million cash-and-stock deal.
The deal came together after Omen founder Zach Laberge was introduced to Aquatic Labs’ CEO Allan Adams by an investor in the filtration space. Both startups were building real-time water sensors with complementary technology: Omen’s sensors looked for elements in the water, while the Aquatic Labs sensor tests its alkalinity.
Putting those two technologies in the same sensor creates a “much richer picture of the water and the fluid,” Adams told TechCrunch, while uniting their vision of automating what had previously been a slow, manual process.
The combination unites two classic species of founder: Laberge dropped out of high school to pursue his first company, which did similar fluid analysis for large construction machines that depend on hydraulics. Adams was an academic, trained as a physicist, who spent much of his career developing advanced ocean sensing technology as an MIT professor and Woods Hole Oceanographic Institute researcher before starting his company.
Now, with Adams as the company’s chief science officer, the combined teams are working to integrate both technologies into one sensor, which they expect to have on the market by early next year. Omen’s initial sensors will be monitoring chips pulling in 250 to 300 MW of power by the end of the year, worth about $5 to $7 billion, Laberge told TechCrunch, with the hope of being installed on the equivalent of 1 GW of chips by the end of 2027.
The added value is in uptime: If the fluid system gets out of whack, data center operators typically choose to dump the water rather than risk damage to their expensive equipment. That means shutting down operations until the fluid system is restored, which costs a lot of money. Monitoring lets data center operators use the same fluid for longer, and minimize the costs of a clean up.
Adams hopes to see their technologies have an impact outside of data centers as well, telling TechCrunch that “water goes into data centers, and then it comes out and gets dumped into municipal water, and you want that whole process to happen in a way that’s as safe and responsible as possible — and that means you got to measure stuff.”
AI companies once estimated as much as $4 trillion would be spent on AI infrastructure by 2030, but some investors have grown skeptical of the buildout, sending hyperscaler stocks plummeting in recent days. Omen’s team isn’t worried about shifting sentiment though, since their work comes after a data center has been built.
“We’re working customers on stuff they’re building today or have already built, and so it doesn’t really affect us because all of those projects were financed 12 months ago,” Laberge said. “Our view is, if there’s tightness, this is still going to be the biggest market in human history, even if you sliced it in half.”
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Tim Fernholz is a journalist who writes about technology, finance and public policy. He has closely covered the rise of the private space industry and is the author of Rocket Billionaires: Elon Musk, Jeff Bezos and the New Space Race. Formerly, he was a senior reporter at Quartz, the global business news site, for more than a decade, and began his career as a political reporter in Washington, D.C. You can contact or verify outreach from Tim by emailing [email protected] or via an encrypted message to tim_fernholz.21 on Signal.
来源:TechCrunch · AI · techcrunch.com