Validate and Optimize AI Inference Infrastructures

KAI Inference Builder (KAI IB) is an emulation and analytics solution designed to validate, benchmark, and optimize AI inference infrastructures and software stacks emulating realistic AI workloads with high fidelity and at scale, providing deep insights into the performance characteristics, capabilities, and security efficacy of inference systems.

Realistic AI Inference Workload Emulation

Emulate realistic AI LLM inference traffic — matching real user behavior and workloads — to validate inference infrastructures and stacks under conditions that mirror production, not synthetic lab tests.

High Scale Traffic Emulation

Scale to millions of users or prompts per second to quantify true user concurrency linking performance to cost‑per‑token and helping teams plan capacity and ROI accurately.

Private or Public Cloud Deployment Options

Validate private or public cloud-deployed AI inference infrastructures with fully virtual or hardware base inference client emulation.

Single Pane of Glass Statistics View

Have a single pane of glass view with inference native metrics from both the client perspective and statistics ingested from server for faster pinpointing of bottlenecks and streamlined optimizations.

Introducing Keysight AI (KAI) Inference Builder

KAI Inference Builder is an inference-aware emulation and analytics solution designed to validate, benchmark, and optimize AI inference infrastructures under real-world workload conditions. KAI Inference Builder helps teams move beyond synthetic benchmarks and generic load tests by bringing workload-aware, full-stack validation into AI data center deployments.