D-Matrix announced that it will adopt Nvidia’s chip-linking technology to integrate its processors directly into the semiconductor giant’s data-center systems, as demand for AI computing continues to grow.

The partnership comes as artificial intelligence workloads increasingly shift from training AI models to deploying them for everyday applications, a process known as inference. While Nvidia’s graphics processing units (GPUs) remain widely used for AI training, D-Matrix is focused on inference workloads, where speed and low latency are critical.

D-Matrix’s latest chips, called Raptor, will connect to Nvidia server racks through NVLink Fusion, a technology that uses specialized connectors and memory to enable custom AI chips to work within Nvidia’s data-center infrastructure. The startup said the integration will allow its processors to operate alongside Nvidia’s systems while supporting demanding AI applications.

The Nvidia-compatible racks are expected to be ready in 2027, while D-Matrix plans to complete the final design phase of its Raptor chips by the end of this year.

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According to D-Matrix, the combined systems will be designed for rapid, low-latency AI applications, including coding assistants, chatbots, and voice agents, where fast response times are essential. The company did not disclose the financial terms of its partnership with Nvidia.

Based in Santa Clara, California, D-Matrix is also working with connectivity company Astera Labs to develop customized solutions that enable fast data transmission across its systems.

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The startup has attracted significant backing from major technology companies. Microsoft has supported D-Matrix since its $110 million funding round in 2023. D-Matrix delivered its first AI chip in November 2024 and was valued at $2 billion after raising $450 million last year.

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The collaboration with Nvidia marks a significant step for D-Matrix as it seeks to expand its position in the growing AI inference market and make its specialized processors compatible with established data-center infrastructure.