RAVEL and Sandia National Laboratories study how to schedule AI workloads around power

Nov 12, 2026
Project Quicksilver will test moving AI jobs across three Sandia sites and air- and immersion-cooled systems to cut energy use, cost and completion time.

AI infrastructure software company RAVEL has started a research collaboration with Sandia National Laboratories, called Project Quicksilver, on scheduling AI workloads according to available power, according to a press release.

The project will use RAVEL's Orchestrate AI software to study how AI jobs can be scheduled, balanced or moved across computing sites as power availability and operating conditions change. Phase one covers air-cooled and immersion-cooled systems at three Sandia locations linked over a wide-area network, and measures energy use, total cost of ownership and how long workloads take to finish.

"The next phase of AI infrastructure leadership won't be won by simply building more," said RAVEL CEO Denise Muyco. The release does not give a timeline or funding for the project.

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