Keysight Launches AI Inference Emulation Platform to Validate and Optimize AI Infrastructure
MWN-AI** Summary
Keysight Technologies, Inc. (NYSE: KEYS) has unveiled the Keysight AI Inference Builder, an innovative emulation and analytics platform designed to validate and optimize AI inference infrastructure at scale. The platform was showcased at the NVIDIA GTC event, functioning within the NVIDIA DSX Air environment to simulate and enhance AI data center architecture and performance.
As the AI sector evolves from training to deployment, optimizing inference for enhanced ROI has become critical. Traditional testing methods often fall short in accurately reflecting the dynamic nature of AI inference workloads, as challenges arise from latency sensitivity across various layers like compute, networking, memory, and security. The KAI Inference Builder addresses these shortcomings by recreating realistic inference workload patterns and industry-specific usage. This allows AI cloud providers, hardware vendors, and application developers to more effectively measure and optimize real-world inference performance.
Key advantages of the KAI Inference Builder include the ability to emulate inference workloads tailored to specific industries, benchmark application behavior in real-world conditions, and conduct end-to-end validation of workflows. Its subsystem isolation functionality also enables precise identification of performance bottlenecks within the AI infrastructure, allowing organizations to reduce costs and improve efficiency.
During the live demonstration at NVIDIA GTC, Keysight emphasizes the importance of pre-deployment validation in managing performance volatility in scaling AI data centers. Ram Periakaruppan from Keysight and Amit Katz from NVIDIA highlighted the necessity of such tools for seamless deployment and optimized services in the ever-evolving AI landscape. The KAI Inference Builder will be available for deeper exploration at both Keysight's and NVIDIA's booths during the event.
MWN-AI** Analysis
Keysight Technologies, Inc. (NYSE: KEYS) has launched its AI Inference Builder, a platform designed to validate and optimize AI infrastructure at scale using real-world workload emulation. As AI continues to gain momentum, particularly in the shift from training large language models (LLMs) to focusing on inference optimization, this development is timely and relevant for stakeholders within the artificial intelligence landscape.
The AI Inference Builder addresses a critical gap in the market: the need for accurate emulation of inference workloads that reflect real-world conditions. Traditional means of testing are often insufficient, leading to potential latency issues and decreased ROI. By providing organizations with an infrastructure that can emulate industry-specific AI workloads—particularly in sectors like finance and healthcare—Keysight enables businesses to optimize their AI deployments before they go live.
For investors, this advancement symbolizes a significant market opportunity. The continuous growth and evolution of AI are forecasted to reshape numerous industries, presenting lucrative avenues for companies developing enabling technologies. The integration of KAI Inference Builder with NVIDIA's DSX Air adds another layer of credibility to Keysight's offering. Live demonstrations at events like NVIDIA GTC not only enhance visibility but also underscore the platform’s practical utility in a production setting.
As enterprises increasingly recognize the necessity of fine-tuning their AI infrastructures, Keysight's KAI Inference Builder positions them as a frontrunner in the field. An investment in Keysight could be promising, given the growing emphasis on optimizing AI infrastructure and the company's strategic partnerships. Analysts should monitor Keysight's customer adoption rates and industry feedback as these will be crucial indicators of the future success and impact of the AI Inference Builder in the rapidly evolving AI landscape.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
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
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.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260317129916/en/
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 .
View source version on businesswire.com: https://www.businesswire.com/news/home/20260317129916/en/
Keysight Media Contacts
Andrea Mueller
Americas
Andrea.Mueller@keysight.com
Fusako Dohi
Asia
fusako_dohi@keysight.com
Jenny Gallacher
Europe
jenny.gallacher@keysight.com
FAQ**
How does Keysight Technologies Inc. (NYSE: KEYS) plan to differentiate the KAI Inference Builder from existing AI infrastructure validation tools in terms of scalability and performance optimization?
What specific industries or applications does Keysight Technologies Inc. (NYSE: KEYS) target with its industry-specific benchmarking capabilities within the KAI Inference Builder platform?
Can Keysight Technologies Inc. (NYSE: KEYS) provide insights on the expected ROI for organizations implementing the KAI Inference Builder to optimize their AI inference infrastructure?
How does KAI Inference Builder's integration with NVIDIA DSX Air enhance the emulation and validation processes for AI infrastructure, according to Keysight Technologies Inc. (NYSE: KEYS)?
**MWN-AI FAQ is based on asking OpenAI questions about Keysight Technologies Inc. (NYSE: KEYS).
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