Omen AI’s plan to optimize data centers is all wet
The AI-driven demand for compute power has data centers looking to squeeze more from every rack of GPUs.
The AI-driven demand for compute power has data centers looking to squeeze more from every rack of GPUs.
The short version
- The liquid for liquid-cooled chips is a mixture of water and a substance that inhibits bacteria growth.
- To run the chips hotter, data center managers can change the mix to include more water, which absorbs heat better, but leads to nasty contamination that clogs the flow.
- To solve that, they flush the system, which can mean shutting down a rack for five or six hours at a potential cost of millions of dollars.
- Omen AI has a solution: A tiny spectrometer that can monitor that fluid health in real time, spotting bacterial growth before it becomes a massive problem.
What happened
“You’re not risking huge amounts of downtime because you have no insight into what’s going on chemically,” explains CEO and founder Zach Laberge. After that startup shut down, Laberge started Omen in 2024, with the idea of focusing on fluid systems as the key to enabling construction machinery to be smart enough to know when it needed to be fixed.
Why it matters
The idea was to replace the time-consuming process of extracting samples and sending them to a lab with real-time awareness.
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