Keysight Launches AI Inference Emulation Platform to Validate and Optimize AI Infrastructure

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Key Terms

large language models (llms) technical

Large language models (LLMs) are advanced computer programs trained on massive amounts of text to generate, summarize, translate and understand human-like language. For investors they matter because LLMs can act like a very fast, experienced research assistant—automating customer service, speeding product development and cutting costs—while also creating new revenue opportunities and regulatory, accuracy and ethical risks that can affect a company’s profits and reputation.

ai inference technical

AI inference is the step where a trained artificial intelligence model uses its learned patterns to analyze new data and produce an output — for example, predicting a stock trend, flagging a medical image, or generating text, much like using a recipe to cook a meal. It matters to investors because inference determines real-world performance, speed, and cost of AI features, affects user experience and scalability, and influences operating expenses, regulatory compliance, and competitive advantage.

gpu technical

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

03/17/2026 - 11:00 AM

New platform validates and optimizes AI inference infrastructure at scale using real-world workload emulation; live demonstration at NVIDIA GTC in the NVIDIA DSX Air digital twin environment

SANTA ROSA, Calif.--(BUSINESS WIRE)-- Keysight Technologies, Inc. (NYSE: KEYS) today introduced Keysight AI Inference Builder (KAI Inference Builder), an emulation and analytics platform designed to validate inference-optimized AI infrastructure at scale. Keysight will demonstrate the solution at NVIDIA GTC, showcasing operation within NVIDIA DSX Air AI factory simulation environments to model and optimize AI data center infrastructure, architectures, and performance.

Keysight AI Inference Builder is an emulation and analytics platform designed to validate AI inference infrastructure at real concurrency, real scale, and real workload diversity.

As the AI industry shifts from training large language models (LLMs) to deploying them, optimizing inference has become a crucial factor for ROI. However, inference behavior is highly dynamic and difficult to emulate. Traditional testing methods like synthetic traffic generation or GPU benchmarks cannot accurately reproduce the latency-sensitive workload behavior of AI inferencing across compute, networking, memory, storage, and security layers.

KAI Inference Builder closes that gap by recreating realistic inference workload patterns and modeling industry-specific usage patterns to validate AI infrastructure, applications, and data center deployments. The platform gives AI cloud providers, hardware vendors, and application developers a scalable solution for measuring, validating, and optimizing real-world inference performance.

Key benefits of KAI Inference Builder include:

Built for the Inference Era: As part of the Keysight Artificial Intelligence (KAI) portfolio, KAI Inference Builder emulates AI inference workloads at scale and validates full-stack deployments under real-world conditions to optimize performance, scale, and security.
Industry- and Application-Specific Benchmarking: Instead of generic emulations, KAI Inference Builder emulates industry-specific usage patterns and LLM architectures for AI models seen in finance, healthcare, and other verticals, enabling organizations to model and analyze infrastructure and application behavior across different types of AI data center deployments.
End-to-End Validation and Optimization: KAI Inference Builder evaluates inference workflows from user request to model response, helping teams reduce costly rework by identifying and resolving bottlenecks early across compute, network, and security layers.
Subsystem Isolation and Root-Cause Precision: KAI Inference Builder can also do client-only emulation, which identifies where performance bottlenecks emerge across the AI infrastructure stack under load, enabling targeted optimization that reduces overprovisioning, lowers costs, and improves overall efficiency.
NVIDIA DSX Air Integration and Live GTC Demo: Keysight will showcase KAI Inference Builder’s turnkey integration with NVIDIA Air at NVIDIA GTC, generating realistic inference workloads throughout NVIDIA’s data center simulation environment so operators can validate inference infrastructure before deploying physical equipment.

Ram Periakaruppan, Vice President and General Manager, Network Test & Security Solutions at Keysight, said: “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.”

Keysight will showcase KAI Inference Builder, including the NVIDIA Air AI factory simulation demonstration, in pod C101 at the NVIDIA booth as well as Keysight’s booth (3217) at NVIDIA GTC San Jose, from March 16-19.

Resources

Product Page: Keysight AI Inference Builder
Promotional Page: Introducing KAI Inference Builder
Data Sheet: Keysight AI Inference Builder
Solution Brief: Inference: AI’s Inflection Point
Blog: Introducing Keysight AI Inference Builder
Blog: The Shape of Prompts
Blog: The Inference Stack Can Talk
Blog: The Fastest Path to the First AI Token

About Keysight Technologies

At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product life cycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com.