# Spectrum-X

Published articles for Spectrum-X.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

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

DevFeed: [d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment](<https://devfeed.tech/articles/d-matrix-adopts-nvidia-nvlink-fusion-for-rack-scale-xpu-deployment-6947.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/d-matrix-nvlink-fusion/>)

Author: Jesse Clayton

Published: 2026-09-10T13:00:21Z

Content type: news

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [AI Inference](<https://devfeed.tech/topics/ai-inference.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-platform](<https://devfeed.tech/tags/ai-platform.md>), [corporate](<https://devfeed.tech/tags/corporate.md>), [d-matrix](<https://devfeed.tech/tags/d-matrix.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [latency](<https://devfeed.tech/tags/latency.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [nvidia-vera-rubin](<https://devfeed.tech/tags/nvidia-vera-rubin.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [spectrum-x](<https://devfeed.tech/tags/spectrum-x.md>), [xpu](<https://devfeed.tech/tags/xpu.md>)

### AI overview

d-Matrix announced plans to use NVIDIA NVLink Fusion to connect its next-generation Raptor XPUs with NVIDIA AI infrastructure. The article describes using NVLink, Spectrum-X networking and MGX rack designs to support rack-scale, low-latency inference deployments.

### Source excerpt

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 [...]

## Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

DevFeed: [Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules](<https://devfeed.tech/articles/giga-scale-ai-and-the-ethernet-evolution-how-spectrum-x-ethernet-rewrites-the-rules-6830.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/giga-scale-ai-ethernet-evolution-spectrum-x-ethernet-rewrites-rules/>)

Author: Elizabeth Goodman

Published: 2026-08-24T15:08:39Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Spectrum-X](<https://devfeed.tech/topics/spectrum-x.md>), [Ethernet](<https://devfeed.tech/topics/ethernet.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [networking](<https://devfeed.tech/topics/networking.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-networking](<https://devfeed.tech/tags/ai-networking.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [internet-communications](<https://devfeed.tech/tags/internet-communications.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [spectrum-x](<https://devfeed.tech/tags/spectrum-x.md>)

### AI overview

This article explains how the growth of distributed generative AI training has made scale-out networking a major data center performance bottleneck. It contrasts traditional Ethernet with NVIDIA Spectrum-X Ethernet, a hardware-accelerated architecture that co-designs switches and host-side NICs to provide predictable low latency, high fabric utilization, and resilience for large AI workloads. It also introduces Spectrum-X Multiplane technology and describes how AI collective communication exposes limitations in conventional ECMP routing and congestion handling.

### Source excerpt

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,...

## NVIDIA NVLink: The Scale-Up Network for AI Factories

DevFeed: [NVIDIA NVLink: The Scale-Up Network for AI Factories](<https://devfeed.tech/articles/nvidia-nvlink-the-scale-up-network-for-ai-factories-6905.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-nvlink-the-scale-up-network-for-ai-factories/>)

Author: Elizabeth Goodman

Published: 2026-07-20T15:46:28Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [collective](<https://devfeed.tech/tags/collective.md>), [communication](<https://devfeed.tech/tags/communication.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infiniband](<https://devfeed.tech/tags/infiniband.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [production](<https://devfeed.tech/tags/production.md>), [scale](<https://devfeed.tech/tags/scale.md>), [spectrum-ethernet](<https://devfeed.tech/tags/spectrum-ethernet.md>), [spectrum-x](<https://devfeed.tech/tags/spectrum-x.md>), [speed](<https://devfeed.tech/tags/speed.md>), [systems](<https://devfeed.tech/tags/systems.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

### AI overview

NVIDIA NVLink is presented as a scale-up networking fabric for AI factories. It provides high-bandwidth, low-latency GPU-to-GPU communication for large AI inference, training, and parallel-computing workloads, with collective-operation acceleration and rack-level resiliency.

### Source excerpt

The demand for AI continues to accelerate. Workloads are getting larger, models are becoming more complex, and there is mounting pressure to deploy AI compute...