# How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

DevFeed: [How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories](<https://devfeed.tech/articles/how-nvidia-nvlink-6-delivers-multi-layer-resiliency-for-ai-factories-26914.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-nvidia-nvlink-6-delivers-multi-layer-resiliency-for-ai-factories/>)

Author: Elizabeth Goodman

Published: 2026-09-15T16:55:00Z

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: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Hardware](<https://devfeed.tech/topics/hardware.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-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [industry](<https://devfeed.tech/tags/industry.md>), [networking](<https://devfeed.tech/tags/networking.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [resiliency](<https://devfeed.tech/tags/resiliency.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

## AI overview

The article describes how NVIDIA NVLink 6 supports resiliency in large-scale AI factories. It explains that Vera Rubin NVL72 connects 72 Rubin GPUs into a single scale-up domain and outlines a multilayer approach using lossless networking, error correction, retry, flow control, and error containment to support continuous training and inference operations.

## Source excerpt

For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...