Webinar: Advance AI Fabric Validation and Workload Emulation at 1600GE

Learn how to validate AI network infrastructure by emulating real AI workloads and generating high-density traffic that mirrors GPU clusters. Test fabric performance at scale, catch issues earlier, and gain visibility from physical layer metrics to RoCEv2 traffic—so you can deploy AI infrastructure with confidence.

Advance AI Fabric Validation and Workload Emulation at 1600GE

Live in Asia Pacific & India

June 10, 2026 11 AM IST

Advance AI Fabric Validation and Workload Emulation at 1600GE

On-Demand in English

Available Now

See End-to-End Validation in Action

Rethinking AI-Scale Data Center Validation 

As AI data centers scale to 1.6T Ethernet and tightly coupled GPU fabrics, traditional Ethernet validation methods are no longer enough to ensure reliable, high-performance operation. This white paper examines the emerging challenges of AI-scale networking — from interoperability and congestion to tail latency and workload-driven traffic behavior — and outlines why end-to-end, system-level validation is essential for deployment readiness.

Optimize Data Center Performance with End-to-End Emulation

How Juniper Networks Boosted AI Network Performance

Maximize 1.6T Optical Transceiver Test Throughput.

Laying the Groundwork for What's Next

Keysight and NTT Innovative Devices are working together to help shape the future of global communications. This alliance brings together deep technical expertise and advanced tools to overcome the toughest challenges in high-speed data transmission and move closer to next-generation optical interconnects for AI, cloud, and quantum computing.

Watch the video to see how the NTT and Keysight collaboration is replacing traditional electronic data transmission with photonics to power advanced AI systems and beyond.

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