Large language models (LLMs) scale to over one trillion parameters, pushing every data center component to its limits — where a single weak link disrupts the entire system. Nearly 50% of today’s AI training task failures stem from network or component inefficiencies.
Traditional component-level validation holds back infrastructure performance. Keysight’s latest innovations emulate real-world AI workloads and optimize system-level scalability, efficiency, and interoperability.
In this webinar, we unveil three powerful Keysight AI (KAI) solutions that optimize data centers at scale.
Here are four key takeaways:
KAI Data Center Builder replicates realistic LLM behavior without deploying large GPU clusters.
New solutions boost network reliability at 1.6T speeds and beyond.
Keysight’s Vice President and General Manager, Ram Periakaruppan, shares his vision for the future of AI data centers and the stories behind KAI innovations.
KAI solutions help hyperscalers maximize AI network performance.
Watch now to see how Keysight drives the next wave of AI data center innovation.
