Teledyne
Executive perspectives from Teledyne across NextGenInfra's event and research showcases.
2 video interviews · 2026
Scaling AI Networks: UEC and UALink
- Ethernet is evolving through Ultra Ethernet (UEC) and UALink to meet AI workload demands.
- UEC addresses scale-out, while UALink provides scale-up.
- CBFC demonstrations show how traffic prioritization shapes future AI network architectures.
Abstract
Garrett Dufrenne, Sales Engineer at Teledyne, discusses how Ethernet is evolving to meet AI workload demands through Ultra Ethernet (UEC) for scale-out and UALink for scale-up. He demonstrates both, along with Credit-Based Flow Control (CBFC), to show how traffic prioritization works and what it means for future network architectures.
New Protocols, Lower Latency & Testing Challenges
- AI needs more than speed — it demands lossless fabrics and much lower latency.
- New protocols such as UALink, LLR, and CBFC add complexity to Ethernet designs.
- Development and test cycles for AI products are longer and more complicated, so testing needs more focus before launch.
Abstract
Craig DuFrenne, Sales Director of the Networks Group at Teledyne, discusses how AI changes Ethernet development and testing. Beyond faster speeds, AI demands lossless fabrics and much lower latency, bringing new protocols such as UALink, LLR, and CBFC into the mix. Companies bringing AI products to market should expect longer, more complex development and test cycles and put more focus on testing before launch.