Keysight Technologies debuted its new Keysight AI (KAI) Data Center Builder, an advanced software suite that emulates real-world workloads to evaluate how new algorithms, components, and protocols impact the performance of AI training.
"As AI infrastructure grows in scale and complexity, the need for full-stack validation and optimization becomes crucial," Ram Periakaruppan, Keysight's VP and GM for Network Test & Security Solutions, said. "To avoid costly delays and rework, it's essential to shift validation to earlier phases of the design and manufacturing cycle."
KAI Data Center Builder’s workload emulation capability integrates large language model (LLM) and other artificial intelligence (AI) model training workloads into the design and validation of AI infrastructure components – networks, hosts, and accelerators. Keysight customers can access a library of LLM workloads like GPT and Llama, with a selection of popular model partitioning schemas like Data Parallel (DP), Fully Sharded Data Parallel (FSDP), and three-dimensional (3D) parallelism.