Ethernet for the Agentic AI Era


2025年9月25日
Ethernet-for-the-Agentic-AI-Era-OCP-Webinar-with-Spirent-and-DellOro-1240x400

New Requirements, High-Speed Networking Innovation & Testing Strategies

AI workloads are placing unprecedented demands on data center networks, especially as the industry enters the era of agentic AI systems with higher autonomy, data intensity, and performance requirements.

To keep pace, organizations are moving from overbuilt networks to purposefully scaled, high-efficiency infrastructure—powered by rapid advancements in Ethernet technology, including 800G and 1.6T.

In this OCP Educational Webinar, experts from Dell’Oro Group and Spirent will explore the trends shaping next-gen AI network design and share how emerging Ethernet technologies are being validated to deliver the performance, efficiency, and scale required. Attendees will gain insight into workload emulation strategies, fabric testing innovations, and how leaders across the ecosystem are preparing for what’s next in AI-driven networking.

During the webinar, you’ll learn:

  • How agentic AI systems are reshaping data center network architecture
  • The latest trends in Ethernet adoption for AI workloads
  • Key challenges of validating 800G/1.6T Ethernet fabrics and innovations in high-speed networking
  • How AI workload emulation is improving test coverage and efficiency
  • Real-world strategies to ensure performance, scale, and efficiency in AI networks

Featured Speakers:

  • Sameh Boujelbene, VP, Ethernet Switch—Data Center and AI Networks for AI Workloads Market Research, Dell'Oro Group
  • Aniket Khosla, VP, Wireline Product Management, Spirent
  • James Kelly, VP Market Intelligence and Innovation, Open Compute Project (OCP)
位置

Virtual

8:00 AM PT / 11:00 AM ET

Interested in this event?

Register here


Featured Speakers

Sameh-Boujelbene

Sameh Boujelbene

Vice President

Dell’ Oro Group

Aniket Khosla

VP, Wireline Product Management

Spirent

James-Kelly-OCP

James Kelly

VP Market Intelligence and Innovation

Open Compute Project