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Building your own AI chip is hard. Getting that chip into production racks at scale is arguably harder. D-Matrix, the inference-focused semiconductor startup, just announced a shortcut: it’s wiring its next-generation Raptor XPUs directly into NVIDIA’s NVLink Fusion interconnect, gaining access to the entire rack-scale infrastructure that NVIDIA has spent years perfecting.
The partnership means Raptor accelerators will connect through NVIDIA’s sixth-generation NVLink fabric and slot into MGX reference architecture racks. Initial Raptor-based MGX systems are projected for 2027, with first units expected by Q4 of that year.
What NVLink Fusion actually does here
NVLink Fusion, which NVIDIA introduced in 2025, lets third-party XPUs and CPUs tap into NVLink’s low-latency links without building their own networking stack from scratch.
The integration supports rack-scale configurations that can accommodate up to 144 Raptor accelerators within a single all-to-all NVLink domain. NVLink Fusion delivers 3x lower XPU-to-XPU latency compared to traditional Ethernet interconnects. Each XPU can access up to 3 TB/s of bandwidth through the sixth-generation NVLink fabric.
D-Matrix CEO Sid Sheth has emphasized that the collaboration accelerates deployment for ultra-low-latency inference use cases specifically, including coding assistants, chatbots, and voice agents. The company is positioning Raptor systems to work alongside NVIDIA’s GPU-based racks, handling disaggregated inference workloads.
D-Matrix’s trajectory and the Raptor roadmap
D-Matrix shipped its prior-generation Corsair XPU starting in November 2024. Following a $450 million funding round, d-Matrix carried a $2 billion valuation. Raptor chips are currently in their final design stage, with completion targeted by the end of 2026. The multi-year product roadmap with NVIDIA suggests this isn’t a one-off integration but rather a sustained collaboration that will evolve across future chip generations.
The company has also aligned with Astera Labs for tailored connectivity solutions within the NVLink Fusion framework.
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