
11 min read
Why Traditional Networks Fail AI Workloads
Why Traditional Networks Fail AI Workloads The billion-dollar bottleneck hiding in your artificial intelligence infrastructure
Read MoreArthur 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.
11 min read
Why Traditional Networks Fail AI Workloads The billion-dollar bottleneck hiding in your artificial intelligence infrastructure
8 min read
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,...
9 min read
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...