Keysight AI Inference Builder Controller
Keysight Technologies Inc. · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on AWS Marketplace.
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.
The KAI IB solution is comprised of one or multiple traffic agents (the entities generating the actual inference prompt traffic) and one controller (web-based UI for session management, configuring and running tests, as well as capturing relevant real-time statistics).
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This AMI represents the Controller portion of the full Keysight AI Inference Builder solution.
Highlights
Highlighted by the publisher on AWS Marketplace.
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.
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.
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.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Refund terms
As stated by the publisher on AWS Marketplace.
support@keysight.com
Sources
Linked repositories
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.