Learn about optimizing Ethernet fabrics for AI workloads in this 22-minute technical presentation from Dell Technologies experts Venkat Mahalingam and Senthil Kumar Ganesan at the Open Compute Project. Discover key strategies and techniques for enhancing network performance specifically tailored for artificial intelligence applications, with insights from experienced network development and distinguished engineers. Explore the challenges and solutions in adapting Ethernet infrastructure to meet the demanding requirements of modern AI workloads.
Exploring the Wilderness - Optimizing Ethernet Fabrics for AI Workloads
Open Compute Project via YouTube
Overview
Syllabus
6182 Exploring the Wilderness Optimizing Ethernet Fabrics for AI Workloads
Taught by
Open Compute Project
Related Courses
-
Ethernet in the Age of AI - Adapting to New Networking Challenges
-
Ultra Ethernet Overview for AI and HPC Workloads
-
Networking Fabrics for AI: Design Challenges and Open Standards Approaches
-
Memory Fabrics: Comparing Ethernet, InfiniBand, and NVLink Technologies
-
Source Routing for AI Fabrics - Optimizing Network Traffic in Multi-tenant AI Clusters
-
Scheduled Ethernet Fabric for Large-Scale AI Training Clusters
