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# Inference chipmaker d-Matrix moves into NVIDIA's rack architecture
- URL: https://globalfeed.ai/en/d-matrix-connects-raptor-xpus-to-nvidia-infrastructure-via-nvlink-fusion/
- Published: 2026-09-10T17:36:28.000Z
- Updated: 2026-09-10T17:36:28.000Z
- Description: Inference chipmaker d-Matrix will use NVIDIA NVLink Fusion and the MGX rack architecture to deploy its next-generation Raptor XPUs at scale.
- Author: GlobalFeed Editor
- Tags: NVIDIA, d-Matrix, AI hardware, x-nvidia, dil-en, denetim-gerekli, video

AI inference chipmaker **d-Matrix** announced it will use **NVIDIA NVLink Fusion** to connect its next-generation **Raptor XPUs** to NVIDIA's AI infrastructure platform, gaining access to NVLink scale-up networking, Spectrum-X scale-out networking and the NVIDIA MGX rack architecture.

Speaking at a press briefing, d-Matrix cofounder and CEO Sid Sheth said: "Demand for inference is soaring, but capital, time and energy remain finite. With NVLink Fusion and MGX, we can integrate our Raptor XPUs into a broadly deployed, liquid-cooled architecture, giving customers a faster, lower-risk path to deploy and scale ultralow-latency inference."

## The numbers

According to NVIDIA, sixth-generation NVLink delivers 3x lower XPU-to-XPU latency than off-the-shelf Ethernet, 10x higher packet rates and 3 TB/s of all-to-all bandwidth per XPU.

d-Matrix plans to link its XPUs in a single high-bandwidth, low-latency scale-up domain. Its racks can also run alongside NVIDIA GPU systems such as Vera Rubin NVL72 for disaggregated inference. The company intends to integrate NVIDIA Vera CPUs, ConnectX-9 SuperNICs, BlueField-4 DPUs and Spectrum-X Ethernet networking as well.

Standardizing on a common rack means a data center can be built once and support GPUs, CPUs and XPUs without a separate rack design for each processor type.

## A growing partner list

Alongside d-Matrix, the NVLink Fusion ecosystem includes AWS, Arm, Intel, Fujitsu, SiFive, Alchip, Astera Labs, GUC, Marvell, MediaTek, Samsung, Cadence, Synopsys, Ayar Labs and Lightmatter. The platform supports Arm, x86 and RISC-V architectures alongside NVIDIA GPUs.

Full details are in the [NVIDIA blog post](https://blogs.nvidia.com/blog/d-matrix-nvlink-fusion/?ref=globalfeed.ai).