Keysight Technologies Debuts AI Inference Validation Platform

Keysight Technologies, global industry experts in electronic test and measurement solutions, has introduced Keysight AI Inference Builder, an emulation and analytics platform designed to validate AI inference infrastructure at scale.

The platform is developed to address the growing complexity of AI deployment as the industry shifts from training large language models to operating them in production environments. Inference workloads are highly dynamic and place varying demands on compute, networking, memory, storage, and security systems.

Traditional validation approaches, including synthetic traffic generation and GPU benchmarking, often do not reflect real-world inference behavior. As a result, performance bottlenecks and inefficiencies may only become apparent after deployment.

Keysight AI Inference Builder is designed to address these challenges by recreating realistic inference workload patterns and modeling industry-specific usage scenarios. This enables organizations to evaluate infrastructure performance under conditions that more closely reflect real-world operation.

The platform supports full-stack validation, from user request through to model response, allowing teams to identify and resolve performance constraints across system layers before deployment. It also enables subsystem-level analysis, helping isolate bottlenecks and reduce overprovisioning.

In addition, the platform supports industry-specific benchmarking, allowing organizations to model infrastructure behavior for applications in sectors such as finance and healthcare. This approach enables more targeted optimization of AI systems based on actual use cases rather than generalized workloads.

“Inference is the key to unlocking AI’s ROI, but that can be challenging to achieve when system resources aren’t optimized for capacity and performance. KAI Inference Builder provides visibility into real-world inference performance across the full stack, enabling customers to validate and optimize deployments before hardware reaches the rack. Showcasing this capability at NVIDIA GTC using NVIDIA’s Air platform demonstrates how organizations can accelerate the path to production while reducing risk and cost.”

Amit Katz, VP of Networking at NVIDIA, said: “As AI data centers scale to unprecedented levels, pre-deployment validation has transitioned from a best practice to a mission-critical requirement. The integration of KAI Inference Builder with NVIDIA DSX Air provides the essential environment needed to eliminate performance volatility and enables NVIDIA AI Factory partners and customers to emulate real inference workloads and preemptively resolve bottlenecks, ensuring optimized AI services reach the market quickly.”

About Keysight Technologies

Keysight Technologies provides electronic measurement solutions that support design, development, and deployment across communications, electronics, and computing industries. The company’s solutions enable engineers to simulate, test, and validate complex systems across hardware and software environments. To learn more, please click here.

Source/Photo Credit: Keysight Technologies

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