Testing Challenges and Strategies for AI Networking

AI-driven workloads are pushing data centers beyond traditional limits, accelerating the shift from 400G to 800G—and eventually 1.6T—networks. Unlike conventional data flows, AI workloads require specialized hardware and ultra-low latency, making robust network testing critical.

Join Spirent for this webinar to learn about:

• Key differences between AI and traditional cloud networks
• Emerging trends and technologies shaping AI networking
• Major testing challenges in AI-driven environments
• Proven strategies to optimize AI/ML network testing
• Essential AI/ML test features for validation

Don’t miss this opportunity to gain insights on building AI-ready networks!