LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
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Abstract (arXiv)
We introduce LightOn's Optical Processing Unit (OPU), the first photonic AI accelerator chip available on the market for at-scale Non von Neumann computations, reaching 1500 TeraOPS. It relies on a combination of free-space optics with off-the-shelf components, together with a software API allowing a seamless integration within Python-based processing pipelines. We discuss a variety of use cases and hybrid network architectures, with the OPU used in combination of CPU/GPU, and draw a pathway towards "optical advantage".
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Jul 2021.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
5 papers.
- 2023Nonlinear optical encoding enabled by recurrent linear scatteringcited by 15
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agentscited by 10
- 2022Scaling Laws Beyond Backpropagationcited by 4
- 2021Is the Number of Trainable Parameters All That Actually Matters?cited by 3
- 2026Training deep physical neural networks with local physical information bottleneckcited by 1
- 2026Training deep physical neural networks with local physical information bottleneck10 Feb 2026
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agents12 May 2025
- 2023Nonlinear optical encoding enabled by recurrent linear scattering17 Jul 2023
- 2022Scaling Laws Beyond Backpropagation26 Oct 2022
- 2021Is the Number of Trainable Parameters All That Actually Matters?24 Sep 2021