In high-density racks, every watt spent on cooling is a watt you can’t spend on compute. Our two-phase direct-to-chip cooling system for next-gen GPUs means:. ➡️ More power for compute .➡️ Lower energy use and data center PUE .➡️ More hardware, bigger models. See how it works

We’ve opened a new facility in San Francisco!. It will be key to scaling our data center products — designed to tackle two of the industry's biggest challenges:. → The thermal demands of next-gen GPUs and rising rack densities. → Reducing on-site water use and CO₂ emissions

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We’ve been listed on The Future 50 ! 🚀. Nominated by investors and selected by @thegeneralistco, we’re recognized as one of the world’s most exciting startups. Learn more about us here:

AI-scale compute is driving up thermal loads across data centers, creating a new class of infrastructure challenges. In this video, we’re testing a material developed for our dual-use chiller, a system that combines mission-critical thermal management for data centers with CO₂

An advanced material isn’t a breakthrough if it can’t scale. Designing materials that are scalable, high-performance, cost-effective, and manufacturable is the hard part — and it’s what sets our work apart. At #IZC2025, our Technical Product Manager, Ruxy Chitac shared how we

Imagine being able to run a full chemical simulation within minutes?. Watch below as Dr. @TimothyDuignan, one of our researchers, prompts our AI agent to run a full simulation of NaCl crystallization with just a single sentence prompt, in minutes. It’s the kind of task that would

30% of the global economy depends on advanced materials. Yet we still discover them the way we did 200 years ago: mix, heat, test, repeat. At Orbital, we use AI to design materials and because we’re fully verticalized, turn them into deployable hardware. Our CEO Jonathan

One thing we look for at Orbital is interdisciplinary people, folks who are committed to learning whatever it takes to achieve our goals. That might mean a mechanical engineer learning AI, materials science, manufacturing or all of the above. For Ruxy Chitac, one of our

Through leveraging our AI expertise, we’ve discovered materials that are critical to our data center products:. ➡️ A dual‑use chiller. ➡️ A two‑phase direct‑to‑chip cooling system. With both now moving into pilot deployment, working with our partners @awscloud, @CivoCloud and

At Orbital, we design and deploy products that meets these demands. For example, our two-phase direct-to-chip cooling system:. → Enables high density, energy-efficient cooling that brings the PUE (Power Usage Efficiency) of data centers to 1.04. → Can support rack densities of.

AI workloads are changing what data centers need to deliver for 2 reasons:. 1. Rack densities now regularly exceed 130 kW per rack and projected to reach above 650kW, far beyond what traditional cooling and power systems were designed for. 2. Cooling already accounts for nearly.

The AI data center boom is straining infrastructure worldwide. A recent @Bloomberg article shows China alone plans to add 50M+ servers by 2027 — with some sites already consuming as much power as entire cities. Here’s why this matters👇. (1/3)

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A new evaluation shows our AI simulation model, Orb, stands out in many tests. 👏. In this paper (arXiv:2506.01860) by Bowen Han & Yongqiang Cheng, Orb v3 was benchmarked against ~5,000 inorganic crystals and outperformed other MLIPs such as MatterSim and SevenNet-MF-ompa. Take

“The material is the engine, but it’s the infrastructure around it that unlocks performance.”. In this short video, Graham Wenz shares how we build our products - such as the dual-use chiller - to deliver real-world value to advanced industries. The closed feedback loop between

Our AI simulation model, Orb, continues to be recognized as a game-changer within materials innovation. The @wef detailed in a recent article how AI is transforming materials discovery, moving from hypothesis to design, prediction, and validation at unprecedented speed. And

We built our simulation model, Orb, using @awscloud's SageMaker HyperPod. It’s helped us go from materials discovery to physical deployment 10 times faster. Orb powers the design of materials used in our dual-use chiller — built for cooling AI-scale data centers with

What’s one of the biggest challenges data centers face?. With the exponential rise in the development and use of AI, data centers are beginning to overheat due to the extreme workloads. At Orbital, we’ve developed products such as our direct-to-chip, two-phase cooling solution

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