Keysight AI (KAI) Data Center Builder Demo

Demos

In this demo video, Keysight expert Alex Bortek introduces the Keysight AI (KAI) Data Center Builder, an advanced software suite designed to emulate real-world AI workloads. This innovation enables network architects and data center operators to evaluate how new algorithms, network components, and protocols impact the performance and efficiency of AI training clusters, without requiring full-scale deployment.

 

The KAI Data Center Builder provides a unique capability: realistic workload emulation that mirrors the communication and behavior of modern large-scale AI training jobs. By doing so, it gives AI data center teams a repeatable, controlled way to benchmark, analyze, and optimize AI data center performance, without the cost or complexity of using live GPUs or production environments.

 

With KAI Data Center Builder's workload emulation application, AI data center teams can:

  • Test the impact of different partition sizes, scheduling strategies, and model sharding on infrastructure performance.
  • Visualize collective operations and identify which links, nodes, or operations are causing bottlenecks.
  • Analyze network utilization, tail latency, and congestion events to correlate with job completion time (JCT).
  • Validate emerging designs for GPUs, NICs, switches, and accelerators under realistic traffic loads.

 

By enabling real-world AI workload emulation in a lab environment, the KAI Data Center Builder removes the guesswork from AI infrastructure testing. It allows users to pinpoint performance degradation sources and optimize infrastructure decisions with clarity and speed.

 

Watch the full demo to see how Keysight’s AI Data Center Builder can empower your team to build faster, more scalable, and more efficient AI clusters.