d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

AI inference chipmaker d-Matrix today announced it will use NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure platform — joining a growing roster of ecosystem partners.

By connecting Raptor to NVIDIA NVLink scale-up and Spectrum-X scale-out networking, the NVIDIA MGX rack architecture and the broader NVIDIA AI platform, NVLink Fusion gives d-Matrix an accelerated, lower-risk path from custom silicon to large-scale deployment. 

“Demand for inference is soaring, but capital, time and energy remain finite,” said Sid Sheth, cofounder and CEO of d-Matrix during a press briefing yesterday. “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 NVIDIA AI platform is vertically integrated and horizontally open. NVLink Fusion extends this openness to XPUs and CPUs, allowing silicon companies to focus on their processor innovations while using NVIDIA infrastructure to deploy them at AI factory scale.

From Custom Silicon to Rack-Scale Deployment

Building an XPU is only the first step. Deploying it at AI factory scale requires a complete platform spanning networking, rack architecture, power, cooling, software and a proven supply chain. Each of the steps — sourcing chips, integrating high-speed interfaces, validating a scale-up networking solution, designing and certifying rack architecture — adds time, costs and risks.

NVLink Fusion lets silicon innovators connect directly into NVIDIA’s proven platform. It’s the high-bandwidth, low-latency technology that connects custom XPUs and CPUs to the NVIDIA stack.

By adopting NVLink Fusion, d-Matrix can tap into the NVIDIA MGX ecosystem’s mature, validated rack designs, supply chain, power and cooling infrastructure. By standardizing on a common rack, data centers can be built once and support GPUs, CPUs and XPUs — without requiring a separate rack architecture for each processor type.

NVLink Fusion Integrates d-Matrix XPUs Into AI Factories

Using NVIDIA NVLink, d-Matrix plans to connect its XPUs in a single high-bandwidth, low-latency scale-up domain. Its racks can also work alongside NVIDIA GPU-based systems like NVIDIA Vera Rubin NVL72 for disaggregated inference. 

d-Matrix also plans to integrate NVIDIA Vera CPUs, NVIDIA ConnectX-9 SuperNICs, NVIDIA BlueField-4 DPUs and NVIDIA Spectrum-X Ethernet networking. Together with NVLink and MGX, these technologies give d-Matrix a proven foundation to deploy specialized inference alongside NVIDIA systems within flexible, unified AI factories.

NVLink Fusion Opens NVIDIA AI Factories to Specialized XPU Architectures

The NVIDIA full-stack AI factory platform includes NVIDIA Vera Rubin NVL72, Groq 3 LPX, the Vera CPU rack, Vera BlueField-4 STX storage and Spectrum-6 SPX Ethernet networking. It’s designed to be completely fungible — running every AI workload, model and model architecture — with the best performance per watt and lowest cost per token. 

NVLink Fusion gives customers the flexibility to match the right compute to each workload within a common AI factory platform, opening access to NVIDIA networking, systems, software and global supply chain. Silicon innovators like d-Matrix can use NVLink Fusion to increase performance, accelerate time to market and reduce the risk of deploying semi-custom AI factories.

NVLink Fusion — Quick Answers What is NVIDIA NVLink Fusion? NVLink Fusion is the high-bandwidth, low-latency technology that connects third-party custom XPUs and CPUs to NVIDIA’s AI infrastructure. It provides NVLink scale-up networking, the NVIDIA MGX rack architecture, and access to the full AI factory platform spanning compute, networking, storage, security, power, cooling and software. What problem does NVLink Fusion solve? Building a custom XPU only the first step. Deploying one at scale requires rack architecture, cooling and power validation, system management software and a supply chain that can deliver at volume, which can cost billions of dollars and take years. NVLink Fusion lets silicon innovators skip that work and connect directly into NVIDIA’s proven, globally deployed AI factory platform. Who are the NVLink Fusion partners? Adopters include AWS, which is designing Trainium4 to integrate with NVLink Fusion, and d-Matrix, a custom inference accelerator provider. The technology ecosystem spans CPU, ASIC design, IP and optical interconnect partners including Alchip, Arm, Astera Labs, Ayar Labs, Cadence, Fujitsu, GUC, Intel, Lightmatter, Marvell, MediaTek, Samsung, SiFive and Synopsys. What CPU architectures does NVLink Fusion support? NVLink Fusion is CPU architecture-agnostic and supports Arm, x86 and RISC-V. Partners connect their CPUs using NVLink-C2C, which delivers up to 6x the energy efficiency of a PCIe interface. What is the difference between NVLink and NVLink Fusion? NVLink is NVIDIA’s scale-up interconnect between NVIDIA GPUs. NVLink Fusion extends that same interconnect, plus the surrounding rack architecture and ecosystem, to hyperscalers, AI-native companies, and custom silicon innovators who want to take advantage of NVLink scale-up, the NVIDIA AI infrastructure platform, and NVLink Fusion ecosystem. Who is NVLink Fusion for? Hyperscalers, AI-native companies and custom silicon innovators deploying their own XPUs or CPUs.