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HYBRID OPTOELECTRONIC COMPUTING

Inception

Photonic Analog Acceleration for Trillion-Parameter AI Models

Inception™ is Artilux’s breakthrough in photonic computing—where light becomes the medium of computation. Built on our GeSi photonic platform, Inception shifts AI computing paradigm from conventional digital electronics to novel hybrid optoelectronics, delivering exceptional compute energy efficiency (TOPS/W) and compute density (TOPS/mm²) for trillion-parameter LLMs and emerging AI workloads. Inception embodies a unique photonic fabric that seamlessly integrates sensing, communication, and computing — embracing the future of intelligence.

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Artilux Inception photonic analog compute — waveguide rails feeding a photonic compute core
Power Efficiency
370 TOPS/W
Area Efficiency
19 TOPS/mm2
Cooling
No active cooling required
Target Workload
Trillion-Parameter LLMs
Why Inception

Photonic computing for unprecedented intelligence

The Challenge

Digital compute is hitting limits in energy and density — trillion-parameter AI models require orders-of-magnitude more TOPS/W and TOPS/mm² than silicon transistors can deliver.

The Approach

Inception computes with light on Artilux’s GeSi photonic platform, enabling a scalable architecture with breakthrough energy efficiency and area efficiency — built for next-generation LLMs and emerging AI workloads.

Strengths & Benefits

Inception platform

Energy Efficiency

Light-based computation on the GeSi platform delivers TOPS/W orders of magnitude beyond digital electronics.

Area Efficiency

Dense photonic compute elements lift TOPS/mm², packing more intelligence into the same silicon footprint.

AI Scalability

A scalable architecture built for trillion-parameter LLMs and the rapidly growing AI workloads that follow.

Unified Photonics

One photonic fabric that senses, communicates, and computes — merging all functions into a single continuum.

CORE ARCHITECTURAL DIVE

How Inception works

At its core, Inception replaces digital Arithmetic Logic Units (ALUs) and complex pipelined digital electronics with a dense 2D array of proprietary Optoelectronic Neurons (OENs). This hybrid analog/digital approach enables massive parallel dot-product computation to occur in a single, highly efficient step.

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