Triple-T Presentations by Aviz Networks, Megaport, AMD
Hear from these AI Networking Sponsors as they present Tools, Technologies and Techniques that that map to solutions that enable trusted Infrastructure to drive business value in today’s Enterprise.
Here’s the lineup:
13:35 UK – Network Modernization for AI: What’s the Best Approach? -Aviz Networks Triple-T
AI is redefining infrastructure by transforming compute, driving data-intensive applications, and enabling new levels of efficiency. Networks, as the backbone of this shift, face increasing complexity and require modernization to meet the demands of AI-driven workloads. This session explores two critical pillars of network transformation: building AI-ready networks for data centers, edge environments, and GPU fabrics, and using AI to enhance network operations, visibility, and automation. Attendees will gain practical insights into designing and managing networks that not only support but accelerate the adoption of AI and data-heavy applications.
13:50 UK – Unlocking AI Potential: The Strategic Advantage Connectivity Brings to AI Infrastructure – Megaport Triple-T
Low-latency connections are essential for time-sensitive applications like AI model training and real-time inference, where even slight delays can degrade performance and outcomes
for users and customers alike.
In this presentation, we explore how Network as a Service (NaaS) empowers enterprises to select the best AI/GPU providers, regardless of whether their infrastructure is in a data centre or in the Public Cloud. They can optimise for performance and cost, and enjoy secure, low-latency connections tailored to their specific needs.
14:05 UK – 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.
Vishal has 20+ years of experience in the IT Networking Industry. Prior to founding Aviz, Vishal held various leadership roles at Nvidia/Mellanox, IBM, BNT, Cisco, and Nortel Networks. He holds 30+ patents in the field of Software-defined Networking (SDN), IoT, Cloud Orchestration & Automation, and Performance Monitoring areas. He has authored and published several books on SDN, OpenFlow, and OpenStack technologies. Vishal holds an MBA from Duke University and a Bachelor’s in Engineering from India.
Mike has worked at Megaport for over three and a half years in the channel and alliances team, bringing over 20 years of experience to the team. He is responsible for working with Megaport’s existing partners across EMEA, as well as building new partnerships and alliances. He has worked in a variety of roles in his career, at companies including Arrow ECS, Redcentric and InTechnology.
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.
