# How XPUs Meet a World-Class AI Factory

DevFeed: [How XPUs Meet a World-Class AI Factory](<https://devfeed.tech/articles/how-xpus-meet-a-world-class-ai-factory-6958.md>)

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

Author: Jesse Clayton

Published: 2026-08-24T15:00:54Z

Content type: article

Language: en

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

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Network](<https://devfeed.tech/topics/network.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [moe](<https://devfeed.tech/topics/moe.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [gb300-nvl72](<https://devfeed.tech/tags/gb300-nvl72.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [mixture-of-experts](<https://devfeed.tech/tags/mixture-of-experts.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia-dsx](<https://devfeed.tech/tags/nvidia-dsx.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [software](<https://devfeed.tech/tags/software.md>), [time](<https://devfeed.tech/tags/time.md>), [xpu](<https://devfeed.tech/tags/xpu.md>)

## AI overview

The article explains how NVLink Fusion combines custom XPUs with NVIDIA's established AI infrastructure to help build semi-custom AI factories. It focuses on scale-up networking, performance, resiliency, telemetry, platform maturity, and the economics of large-scale AI workloads.

## Source excerpt

To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infrastructure designed and built as a full factory, not a collection of individual accelerators. Hyperscalers and AI-native companies building custom XPUs must consider [...]