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Nvidia is opening its datacenter racks to rival inference-chip supplier d-Matrix, allowing competing accelerators to integrate into the same infrastructure ecosystem.

Nvidia's ecosystem move legitimizes multi-chip datacenters and validates alternative inference accelerators; reduces customer switching costs and signals confidence in heterogeneous compute architectures.
Trade pressSlicast · September 15, 2026 at 18:06 UTC · US · Source: Pluang
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Nvidia has opened its high-speed interconnect technology to d-Matrix, a Microsoft-backed AI chip startup, allowing the company to plug its inference processors directly into Nvidia-powered racks using NVLink Fusion—a capability expected to launch in 2027. The move extends Nvidia's interconnect standards to external partners, potentially establishing it as an industry benchmark while creating new revenue streams for Nvidia beyond GPU sales, including fees from networking hardware, CPUs, and software services.

The arrangement maintains Nvidia's stronghold in data center infrastructure even as it invites competition in the inference segment. While rivals could capture meaningful inference workloads, Nvidia's ecosystem positioning—collecting revenue across multiple product layers—insulates the company from pure chip commoditization. The strategy strengthens Nvidia's role as the backbone of AI infrastructure rather than merely a processor vendor.

Market sentiment reflects cautious optimism. Nvidia shares (NVDA) trade at $212.06, up 0.52% intraday but closer to their 52-week low of $165.17 than their high of $235.75. Microsoft (MSFT), d-Matrix's backer, is priced at $498.47, down 1.37% today and below its 52-week high of $542.07. Marvell Technology (MRVL), a competing chipmaker, stands at $222.63, up 1.74% but significantly below its 52-week peak of $316.43, suggesting divided investor sentiment across the semiconductor space.

The infrastructure trend is evident elsewhere: Nvidia's latest AI supercomputer, the VR200 NVL72, allocates 70% of its $4 million bill of materials to Vera Rubin GPUs. Broadcom, meanwhile, reported AI semiconductor revenue up 221% year-over-year to $16.7 billion, with total revenue rising 85.5% to $29.59 billion and free cash flow reaching $13.66 billion—underscoring the ongoing capital intensity and profitability of AI infrastructure plays across the sector.

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Nvidia is opening its datacenter racks to… · Slicast