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NVIDIA DSX Air Integrates KAI Inference Builder to Optimize AI Infrastructure
Keysight AI Inference Builder helps AI infrastructure teams validate, benchmark, and optimize inference-optimized infrastructure under real-world workload conditions. As organizations move from training large language models to deploying them at scale, inference performance has become a critical factor for capacity planning, infrastructure efficiency, and return on investment. Keysight AI Inference Builder addresses this challenge by recreating realistic inference workload patterns and modeling industry-specific usage patterns to validate AI infrastructure, applications, and data center deployments. Keysight demonstrated Keysight AI Inference Builder operating within NVIDIA DSX Air AI factory simulation environments to model and optimize AI data center infrastructure, architectures, and performance before physical equipment is deployed. Keysight demonstrated Keysight AI Inference Builder at NVIDIA GTC, showcasing its operation within NVIDIA DSX Air AI factory simulation environments. The demonstration generated realistic inference workloads throughout NVIDIA’s data center simulation environment, allowing operators to validate inference infrastructure before deploying physical equipment.