Reuters · 10 Sep, 13:20 · Artificial Intelligence briefing

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

Chinese chip designer d-Matrix has announced it will integrate Nvidia’s NVLink technology into its AI server offerings.

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Chinese chip designer d-Matrix has announced it will integrate Nvidia’s NVLink technology into its AI server offerings. This strategic partnership allows d-Matrix’s processors to leverage Nvidia’s high-speed interconnect solution, enabling more efficient data transfer between chips in large-scale artificial intelligence workloads. The move signals a growing reliance on established infrastructure standards within the emerging AI hardware market, as competitors seek to optimise performance without developing proprietary linking technologies from scratch. This development highlights the complex ecosystem of collaboration and dependency shaping the global semiconductor industry.

Employer demand for Cloud Computing skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.2x20211.7x20222.5x20233.6x20245.1x20257.4x202610x
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This development underscores the critical importance of understanding hardware-software integration in the AI era. Professionals in data science and engineering must now consider how underlying infrastructure constraints affect model training efficiency and scalability. You should prioritise skills in cloud computing architecture and high-performance computing, as these areas directly benefit from optimised chip-linking technologies. Pay close attention to vendors adopting industry-standard interconnects, as this shapes future hiring trends. A smart next step is to deepen your knowledge of sustainable computing practices, as efficient hardware utilisation reduces energy costs. Focus on mastering systems that bridge hardware capabilities with algorithmic demands, ensuring you remain relevant as the industry standardises around interoperable AI infrastructure solutions.

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Cloud Computing+32%Sustainable Computing+20%Artificial Intelligence+22%Engineering+24%
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This briefing is based on reporting by Reuters on 10 Sep, 13:20. Read the original coverage →

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