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Lumai

AI for quantum computing and advanced machine learning.

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What is Lumai?

Lumai is an optical computing platform designed to accelerate artificial intelligence workloads using light-based processing. Instead of traditional silicon chips, the platform uses 3D optical systems to perform core machine learning operations such as matrix-vector multiplication. This approach delivers significant performance improvements and lower energy consumption compared to conventional electronic computing systems. The platform targets organisations with compute-intensive AI requirements, including model inference, training, and real-time data processing at scale. Optical computing represents an alternative architecture that addresses the performance and efficiency challenges inherent in modern AI infrastructure, enabling faster processing whilst consuming substantially less electrical power than traditional hardware. Lumai is particularly relevant for data centres and computing environments where both processing speed and energy efficiency are critical. The technology appeals to organisations that need performance gains beyond what conventional systems can deliver but are also concerned about operational costs and environmental impact.

Key features

3D optical computing

Uses photonic systems to perform matrix-vector multiplication and other core ML operations

Parallel processing

Executes multiple computations simultaneously at optical speeds

Low latency

Achieves very fast response times through light-based processing

Energy efficiency

Consumes significantly less power than silicon-based systems

Framework integration

Compatible with standard machine learning tools and models

Pros & cons

Advantages

  • Much faster inference and processing compared to conventional hardware
  • Lower power consumption and reduced operational costs
  • Handles large AI models with high efficiency
  • Real-time processing for time-sensitive applications

Limitations

  • Emerging technology with limited production deployment history
  • Likely high upfront and ongoing costs
  • Requires specialist knowledge for integration and optimisation
  • Smaller ecosystem of supporting tools and documentation

Use cases

AI inference in high-performance data centres

Real-time processing for latency-critical applications

Large language model serving and inference

Autonomous systems including vehicles and robotics

Scientific computing and simulations

Ready to try Lumai?

Pricing

Enterprise

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Custom optical computing infrastructure, dedicated support, integration assistance, and performance optimisation

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