d-Matrix is a computing hardware company founded in 2019 that designs and builds purpose-built platforms for running generative AI inference at scale. Rather than adapting existing GPU architectures, the company built its platform from the ground up, using digital in-memory compute technology to address a core bottleneck in AI workloads: the costly and energy-intensive movement of data between memory and processors.
Its flagship product, Corsair, is a computing platform engineered specifically for the demands of generative AI inference. By processing data closer to where it is stored, Corsair is designed to deliver ultra-low latency and high throughput while keeping energy consumption and operational costs manageable - performance characteristics that are increasingly important as generative AI deployments scale.
The company sits at the intersection of silicon design, systems engineering, and software, working across the full stack to optimise compute architecture for inference. Its technical domains include:
- AI inference and generative AI
- Digital in-memory compute
- Compute architecture and silicon design
- Energy-efficient, high-throughput, low-latency systems
- Systems engineering and software
Founded with a mission to make generative AI commercially viable and sustainable beyond the largest technology companies, d-Matrix has grown from a small startup to a team of over 200 engineers and technologists. The company operates with a first-principles approach, taking on fundamental hardware problems rather than incremental adaptations of existing infrastructure.
