Computing at the speed of light
Computing at the speed of light
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Alvis offers optical processors that perform AI inference with photons instead of electrons. Our solutions offer massive parallelism, ultra-low latency, and a fraction of the energy of conventional accelerators.
What we build?
What we build?
Photonic acceleration, designed for the rack.
Photonic acceleration, designed for the rack.
Our systems run vision workloads — classification, detection, and beyond — using optics for the heavy compute and electronics for everything else.
Million-channel parallelism
Millions of parallel optical channels giving our systems the information bandwidth that high-resolution vision workloads demand.
Vision at scale
Image classification and object detection pipelines tuned for high-throughput inference in production data-center environments.
Energy-aware
Optical compute draws orders of magnitude less power per operation, lowering the cost and footprint of large-scale AI deployments.
10⁶+
Parallel computing channels
< 1 W
Per inference
2U
Standard rack form factor
Where it fits?
Where it fits?
Built for the workloads that overload silicon.
Built for the workloads that overload silicon.
Vision inference is everywhere — and it scales poorly on conventional GPUs. Optical computing changes the curve.
Hyperscale image classification
Tag, route, and moderate billions of images per day with deterministic latency and a fraction of the rack power.
Real-time object detection
Detection pipelines for security analytics, content review, and large-scale visual search — running on light.
Ready to see what optics can do?
Explore our free-space classification and detection systems, and how they slot into existing data-center deployments.
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