GPU operators promise capacity to customers and deploy capex for capacity buildouts. Both commits are made against a moving target. Raw GPU counts hide what the topology on the floor can actually deliver, and the ground keeps moving as hardware delivery slips, components fail, and deals change. The result is a structural gap between paper capacity, what the contract says, and real capacity, what the fleet can actually deliver.

ClairInfra closes that gap. It is the continual, topology-aware reasoning layer between the capacity that GPU operators promise and what their fleet will actually deliver. It de-risks capacity commits by validating every promise against real topology and re-validating as the world shifts. It reasons in both directions. It places deals onto a live model of the real topology, explains every placement, and surfaces capacity deficits before deals fall through. And it tests whether the fleet being built matches the demand it must carry.

Founded on expertise building Google's suite of internal fleet planning products, with engineering and product leadership from Meta, Tableau, Microsoft, and Google.

If you run a GPU fleet and want to talk capacity commits: clairinfra.ai

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ClairInfra

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