Art Fewell

Arthur Fewell has spent nearly three decades at the forefront of networking and infrastructure innovation. As a CCIE #9961 Emeritus, Kubestronaut, and graduate of the University of Texas at Austin (MS, Technology Commercialization), Arthur brings uncommon depth to technical discussions. His career spans industry giants including AT&T, Cisco, Dell, The Linux Foundation, and VMware, where he helped shape networking's evolution through multiple technological epochs. Currently serving as a Technical Marketing Engineer at Hedgehog, Arthur focuses on catalyzing the next generation of open source networking solutions. His writing explores the intersection of cutting-edge technology and its broader implications for the industry, combining technical precision with forward-looking insights.

9 min read

AI Training vs. Inference: Designing Networks for Real-World AI Workloads

Art Fewell: Apr 23, 2025 5:26:27 PM

The same AI model can require significant differences in infrastructure depending on whether you're training it or running it. Here's why your network architecture must account for both.

11 min read

Why Traditional Networks Fail AI Workloads

Art Fewell: Apr 2, 2025 12:07:29 PM

Why Traditional Networks Fail AI Workloads The billion-dollar bottleneck hiding in your artificial intelligence infrastructure

H100 ethernet AI Network AI Edge GPU network AI Cloud GPU cloud software defined networking network automation 100G front-end AI network 400G back-end AI network AI-RAN AI Inference AI Training Artificial Intelligence Machine Learning AI Fine-tuning

8 min read

The Next AI Inflection Point: Jensen Huang's Epochal Vision at GTC 2025

Art Fewell: Mar 19, 2025 2:15:29 AM

The fog of skepticism that once surrounded AI's practical applications has fully lifted. As I sit here reflecting on Jensen Huang's GTC 2025 keynote,...

AI Edge AI Cloud AI Inference AI Fine-tuning

9 min read

The AI Networking Revolution: Dawn of a New Epoch

Art Fewell: Mar 14, 2025 10:00:54 AM

When we look back at the history of networking, it's clear that the industry moves in distinct epochs. These technological eras aren't merely defined...

AI Network GPU network 100G front-end AI network 400G back-end AI network OSS AI Inference AI Training Artificial Intelligence Machine Learning AI Fine-tuning