Chip startup d-Matrix to use Nvidia chip-linking tech in AI servers

Artificial intelligence workloads have been shifting from training AI models to ‌running them ⁠for everyday ⁠use, a process known as inference. While Nvidia's pricey ​graphics processors dominate training workloads, d-Matrix specializes in inference.

Agencies
D-Matrix said on Thursday it will adopt Nvidia's chip-linking technology to use the startup's processors directly inside the semiconductor giant's data-center systems as demand for AI intensifies.

Artificial intelligence workloads have been shifting from training AI models to ‌running them ⁠for everyday ⁠use, a process known as inference. While Nvidia's pricey graphics processors dominate training workloads, d-Matrix specializes in inference.

D-Matrix's new chips, ​called Raptor, will plug into Nvidia's server racks using NVLink Fusion, a technology that has connectors and specialized ​memory so custom AI chips ⁠can plug ‌into Nvidia's larger data-center systems, the ​startup said.


The ​Nvidia-compatible racks are expected to be ⁠available in 2027, with the Raptor chips scheduled ​to complete their final design stage by ​the end of this year.

D-Matrix said the combined systems are aimed at fast, low-latency AI services such as coding assistants, chatbots and voice agents, where speed is critical.

The startup did not disclose ‌the financial terms of the collaboration.
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The Santa Clara, California-based startup is also partnering with ​connectivity firm ​Astera Labs to ⁠build custom solutions to ensure fast data flow across the system.

Microsoft has backed d-Matrix since its $110 million financing ​round in 2023. The startup, which shipped its first AI chip in November 2024, was valued at $2 billion when it raised $450 million last year.
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