Macro photography of laser refraction through a silicon-photonic chip, sharp orange laser beam cutting through glass micro-channels, dark obsidian background, low-key cleanroom lighting.
Macro photography of laser refraction through a silicon-photonic chip, sharp orange laser beam cutting through glass micro-channels, dark obsidian background, low-key cleanroom lighting.
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■ Exploring photonic compute architectures at the physical layer

Towards optical and photonic computation models

AARUNI X is an early-stage research initiative exploring compute architectures beyond traditional silicon scaling limits, focusing on photonic and optical system concepts for high-throughput AI computation.

Extreme close-up of a silicon-photonic wafer under yellow cleanroom light, microscopic optical paths etched onto silicon, technical grid pattern.
Extreme close-up of a silicon-photonic wafer under yellow cleanroom light, microscopic optical paths etched onto silicon, technical grid pattern.

Thermal constraints in silicon architectures

Refractive computing architecture

We are exploring representations of computational workloads and neural network operations in optical and photonic systems.

Traditional electronic architectures face thermal and scaling constraints under large-scale AI workloads. This work explores optical and photonic computation as alternative approaches to reducing energy consumption and interconnect bottlenecks.

We are exploring compute architecture designs focused on improving scalability and efficiency for future AI infrastructure systems.

CONCEPTUAL ARCHITECTURE NOTES

AI workload modeling research

Conceptual performance studies

Early-stage modeling

System-level exploration

THROUGHPUT DENSITY
PER TERAFLOP
CO-DESIGNED STACK

Optical routing is being studied as a potential mechanism for parallel computation in photonic systems, particularly for matrix-heavy AI workloads.

Photonic and optical approaches are being evaluated for their potential to reduce energy transfer losses and thermal constraints in future compute architectures.

We are exploring how neural network structures could be mapped onto non-traditional compute substrates, including optical representations.

Research Inquiry

Submit interest in compute architecture exploration

We are engaging in early-stage research conversations around future compute systems.