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Lumai’s Photonic Chip Harnesses Light for Big AI Compute Speedup

Lumai has launched its Iris server family based on 3D optical computing technology that uses light instead of electrons for matrix multiplication, achieving 90% energy savings over GPUs and supporting large matrices up to 2048x2048. The technology, spun out of Oxford University, leverages off-the-shelf lasers and can be programmed via PyTorch, aiming to address AI's growing energy demands.

SourceAIwireAuthor: Alex Woodie
Lumai’s Photonic Chip Harnesses Light for Big AI Compute Speedup
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Key points

  • Lumai introduces Iris servers using 3D optical computing with lasers and membranes for light-based data processing.
  • The technology performs large matrix multiplications (up to 2048x2048) with 90% lower energy consumption than GPUs.
  • First product Nova available now for evaluation; volume products Aura and Tetra planned for 2028 and 2029.
  • Lumai uses commercial lasers and PyTorch framework, positioning optical computing as a solution for AI energy challenges.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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