# AI Networking

Published articles for AI Networking.

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## Cornelis and Delos Data propose open alternatives to Nvidia's NVLink for AI scale-up networking

DevFeed: [Cornelis and Delos Data propose open alternatives to Nvidia's NVLink for AI scale-up networking](<https://devfeed.tech/articles/ai-networking-startups-race-to-replace-nvidia-s-nvlink-26965.md>)

Original publisher: [Read original article](<https://www.theregister.com/systems/2026/09/15/ai-networking-startups-race-to-replace-nvidias-nvlink/5296672>)

Author: Tobias Mann

Published: 2026-09-15T20:56:48Z

Content type: news

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Networking](<https://devfeed.tech/topics/ai-networking.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-networking](<https://devfeed.tech/tags/ai-networking.md>), [cornelis-networks](<https://devfeed.tech/tags/cornelis-networks.md>), [delos-data](<https://devfeed.tech/tags/delos-data.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [high-performance-computing](<https://devfeed.tech/tags/high-performance-computing.md>), [network](<https://devfeed.tech/tags/network.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [performance](<https://devfeed.tech/tags/performance.md>), [software](<https://devfeed.tech/tags/software.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

The article reports that Cornelis Networks and Delos Data have entered the AI scale-up networking market with proposed alternatives to Nvidia's NVLink. Cornelis introduced its open Active Compute Fabric architecture, which combines programmable in-network compute with scale-up and scale-out networking, while the broader market is developing alternatives using protocols such as Ultra Ethernet and UALink.

### Source excerpt

Intel spin-off Cornelis and newcomer Delos Data pitch open alternatives for scaling AI beyond the rack

## 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,...

## Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial

DevFeed: [Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial](<https://devfeed.tech/articles/maximize-spectral-efficiency-with-ai-native-ran-and-nvidia-ai-aerial-6881.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/maximize-spectral-efficiency-with-ai-native-ran-and-nvidia-ai-aerial/>)

Author: Michelle Horton

Published: 2026-07-07T17:00:00Z

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: [GPU](<https://devfeed.tech/topics/gpu.md>), [cpu](<https://devfeed.tech/topics/cpu.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-networking](<https://devfeed.tech/tags/ai-networking.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>)

### AI overview

The article explains how GPU acceleration and an AI-native RAN architecture can improve spectral efficiency in Massive MIMO deployments. It describes using more complex Layer 1 and Layer 2 tracking, scheduling, channel-estimation, and beamforming algorithms to improve throughput and quality of service.

### Source excerpt

Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to...