For years, AI infrastructure strategy was defined by training. Now the industry is shifting focus to how AI models answer user prompts and queries. This process is known as inference, and it's taking center stage.
Keysight AI (KAI) Inference Builder is built for this new era. An inference-aware emulation and analytics solution, KAI Inference Builder replicates AI client and response behavior to test and optimize AI infrastructure under realistic workload conditions. With workload-based, full-stack validation, there's no need to settle for generic benchmarks or load tests.
Inference defines user experiences, so consistency requires production-like validation, not lab-based benchmarks.
Different applications stress compute, memory, and latency. Without workload-accurate validation, it's hard to isolate bottlenecks.
Inference spans security, networking, retrieval, and compute. The weakest link is the one that determines performance.
Guardrails and policy controls impact stability at scale. Operators need to prove safety and performance under real network loads.
Validate the full request-response path using real prompts, concurrency, and token streaming. KAI Inference Builder helps teams uncover bottlenecks across load balancing, networking, and compute — before they show up in production.
Isolate bottlenecks across GPU compute, memory, KV-cache, storage, PCIe, RDMA, and orchestration layers. In one-arm mode, KAI Infrerence Builder acts as a high-scale inference client, driving prompt-shaped workloads directly into inference stacks so network teams can pinpoint issues faster and fine-tune performance with precision.
Drive real prompt shapes into the stack and correlate the resulting telemetry to see what your system neeeds: whether it's more memory, better scheduling, stronger retrieval paths, or improved GPU utilization. By measuring end-to-end inference workflows, KAI Inference Builder turns complex system behavior into clear, actionable insights.
Not every inference workload behaves the same. That's why KAI Inference Builder models industry-specific prompt shapes and model responses. With support for legal, finance, and other industries, KAI Inference Builder helps teams generate workload-specific proof, compare architectures, and catch regressions as models and prompt patterns evolve.
AI infrastructure timelines are often constrained by hardware availability. That's why KAI Inference Builder offers turnkey integration with NVIDIA DSX Air digital twin environments. KAI Inference Builder emulates real-world inference prompts and responses within the modeled data center environment, enabling network teams to start validating and optimizing deployments before physical infrastructure is fully in place.
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