Accelerating AI Networking with AMD UEC Ready Transport – AMD Triple-T
In this Triple-T session, we’ll dive into the transformative potential of AMD UEC Ready RDMA Transport for AI networking. We’ll explore how these advanced features can enhance your AI infrastructure’s performance, efficiency, and scalability while enabling low tail latency and fast JCT. Attendees will gain practical insights into AMD Pensando™ Pollara 400. We’ll discuss how it can reduce latency, improve throughput, and avoid congestion, ultimately accelerating AI model training and inference. By the end of this session, you’ll have the knowledge and techniques to leverage AMD UEC Ready Transport effectively in your organization, boosting your AI networking capabilities and driving innovation.
Shane Corban is a Senior Director of Technical Marketing at AMD’s Network Technology Solutions Group (NTSG), where he specializes in AMD’s data processing units (DPUs), AI Networking, and smart switch product lines. Before joining AMD, Shane spent 14 years at Cisco, focusing on product management and engineering for Nexus data center switching products. He also held engineering positions at Brocade and Sun/Oracle prior to his time at Cisco.
