Lumai tests optical AI servers to cut data center power use
Data Center Knowledge: Can Optical AI Cut Data Center Inference Power Use?
Lumai is testing optical AI servers in a UK lab to see whether shifting inference prefill off GPUs can ease data center power constraints.
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Power consumption limits data center capacity, and AI inference is straining those fixed power budgets faster than available capacity grows. An optical compute company is testing servers designed to shift a specific phase of AI inference, called prefill, away from power-hungry GPUs by using light instead of transistors to perform the mathematical operations at the core of inference. The optical approach encodes numbers as light intensity and uses components like lenses to perform matrix multiplications, which uses negligible energy and scales with minimal power increases. The trial will test whether this technology can reduce the power strain on data centers while working with existing software frameworks and standard data center infrastructure.
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