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.
Jason Gmitter is a seasoned technology professional with over 20 years of experience
designing and deploying enterprise-class data center architectures. His career has been
marked by a progression of customer-focused senior systems engineering roles at
AMD, Cisco, and Microsoft.
