HN728: How Drivenets Leverages Ethernet Fabrics For AI Networking (Sponsored)

This podcast episode explores the unique requirements of AI workloads in networking and emphasizes the importance of optimizing the network for high performance and utilization. It discusses the concept of the Distributed Disaggregated Chassis (DDC) architecture and its application in AI networking, highlighting the benefits of the DDC in terms of flexibility, performance, and traffic handling. The episode also covers topics such as GPU utilization, congestion control mechanisms, and the use of Virtual Output Queue (VOQ) and scheduled fabric in Ethernet networks. Additionally, it discusses the challenges and advantages of managing a disaggregated network fabric and compares InfiniBand and Ethernet as network solutions for AI infrastructure. Overall, this episode provides insights into the key considerations and solutions for AI networking.