Keysight Technologies (NYSE: KEYS) has unveiled the Keysight Artificial Intelligence (KAI) architecture, a comprehensive solution for scaling AI data center processing capacity. The architecture includes the new KAI Data Center Builder and four portfolio suites designed to validate and optimize AI cluster components through real-world workload emulation.
The KAI architecture features four key components:
- KAI Data Center Builder for high-scale AI workload emulation
- KAI Compute for high-speed digital design optimization
- KAI Interconnect for validating optical and electrical data paths up to 1.6T
- KAI Network for AI network performance benchmarking
- KAI Power for optimizing energy management
The solution enables AI infrastructure providers to test components throughout the design and build process, from pre-silicon simulation to post-deployment system testing, helping customers maximize system performance and identify potential issues before production deployment.
Keysight Technologies (NYSE: KEYS) ha presentato l’architettura Keysight Artificial Intelligence (KAI), una soluzione completa per aumentare la capacità di elaborazione nei data center per l’IA. L’architettura include il nuovo KAI Data Center Builder e quattro suite di portafoglio progettate per convalidare e ottimizzare i componenti dei cluster IA attraverso l’emulazione di carichi di lavoro reali.
L’architettura KAI presenta quattro componenti chiave:
- KAI Data Center Builder per l’emulazione di carichi di lavoro IA ad alta scala
- KAI Compute per l’ottimizzazione del design digitale ad alta velocità
- KAI Interconnect per la convalida dei percorsi dati ottici ed elettrici fino a 1,6T
- KAI Network per il benchmarking delle prestazioni delle reti IA
- KAI Power per l’ottimizzazione della gestione energetica
La soluzione consente ai fornitori di infrastrutture IA di testare i componenti durante il processo di design e costruzione, dalla simulazione pre-silicon fino ai test di sistema post-deploy, aiutando i clienti a massimizzare le prestazioni del sistema e a identificare potenziali problemi prima del deployment in produzione.
Keysight Technologies (NYSE: KEYS) ha presentado la arquitectura Keysight Artificial Intelligence (KAI), una solución integral para escalar la capacidad de procesamiento en centros de datos de IA. La arquitectura incluye el nuevo KAI Data Center Builder y cuatro suites de cartera diseñadas para validar y optimizar los componentes de clústeres de IA a través de la emulación de cargas de trabajo del mundo real.
La arquitectura KAI cuenta con cuatro componentes clave:
- KAI Data Center Builder para la emulación de cargas de trabajo de IA a gran escala
- KAI Compute para la optimización del diseño digital de alta velocidad
- KAI Interconnect para validar caminos de datos ópticos y eléctricos de hasta 1.6T
- KAI Network para la evaluación del rendimiento de redes de IA
- KAI Power para optimizar la gestión energética
La solución permite a los proveedores de infraestructura de IA probar los componentes a lo largo del proceso de diseño y construcción, desde la simulación previa al silicio hasta las pruebas del sistema posterior a la implementación, ayudando a los clientes a maximizar el rendimiento del sistema e identificar problemas potenciales antes del despliegue en producción.
Keysight Technologies (NYSE: KEYS)는 AI 데이터 센터 처리 용량을 확장하기 위한 포괄적인 솔루션인 Keysight Artificial Intelligence (KAI) 아키텍처를 공개했습니다. 이 아키텍처에는 새로운 KAI Data Center Builder와 실제 작업 부하 에뮬레이션을 통해 AI 클러스터 구성 요소를 검증하고 최적화하도록 설계된 네 개의 포트폴리오 스위트가 포함되어 있습니다.
KAI 아키텍처는 네 가지 주요 구성 요소로 구성됩니다:
- 대규모 AI 작업 부하 에뮬레이션을 위한 KAI Data Center Builder
- 고속 디지털 설계 최적화를 위한 KAI Compute
- 최대 1.6T의 광학 및 전기 데이터 경로를 검증하기 위한 KAI Interconnect
- AI 네트워크 성능 벤치마킹을 위한 KAI Network
- 에너지 관리를 최적화하기 위한 KAI Power
이 솔루션은 AI 인프라 제공업체가 설계 및 구축 프로세스 전반에 걸쳐 구성 요소를 테스트할 수 있도록 하여, 실리콘 전 시뮬레이션에서 배포 후 시스템 테스트에 이르기까지 고객이 시스템 성능을 극대화하고 생산 배포 전에 잠재적인 문제를 식별하는 데 도움을 줍니다.
Keysight Technologies (NYSE: KEYS) a dévoilé l’architecture Keysight Artificial Intelligence (KAI), une solution complète pour augmenter la capacité de traitement des centres de données IA. L’architecture comprend le nouveau KAI Data Center Builder et quatre suites de portefeuille conçues pour valider et optimiser les composants des clusters IA grâce à l’émulation de charges de travail réelles.
L’architecture KAI se compose de quatre composants clés :
- KAI Data Center Builder pour l’émulation de charges de travail IA à grande échelle
- KAI Compute pour l’optimisation de la conception numérique à grande vitesse
- KAI Interconnect pour valider les chemins de données optiques et électriques jusqu’à 1,6T
- KAI Network pour le benchmarking des performances des réseaux IA
- KAI Power pour optimiser la gestion de l’énergie
La solution permet aux fournisseurs d’infrastructures IA de tester les composants tout au long du processus de conception et de construction, de la simulation pré-silicium aux tests de système post-déploiement, aidant les clients à maximiser les performances du système et à identifier les problèmes potentiels avant le déploiement en production.
Keysight Technologies (NYSE: KEYS) hat die Keysight Artificial Intelligence (KAI) Architektur vorgestellt, eine umfassende Lösung zur Skalierung der Verarbeitungskapazität von KI-Datenzentren. Die Architektur umfasst den neuen KAI Data Center Builder und vier Portfolio-Suiten, die entwickelt wurden, um die Komponenten von KI-Clustern durch die Emulation von realen Arbeitslasten zu validieren und zu optimieren.
Die KAI-Architektur besteht aus vier Hauptkomponenten:
- KAI Data Center Builder für die Emulation von KI-Arbeitslasten in großem Maßstab
- KAI Compute zur Optimierung des digitalen Designs mit hoher Geschwindigkeit
- KAI Interconnect zur Validierung optischer und elektrischer Datenpfade bis zu 1,6T
- KAI Network für das Benchmarking der Netzwerkleistung von KI
- KAI Power zur Optimierung des Energiemanagements
Die Lösung ermöglicht es Anbietern von KI-Infrastrukturen, Komponenten während des Design- und Bauprozesses zu testen, von der Vor-Silizium-Simulation bis zu den Tests nach der Bereitstellung, wodurch Kunden unterstützt werden, die Systemleistung zu maximieren und potenzielle Probleme vor dem Produktionsstart zu identifizieren.
Positive
- Launch of comprehensive end-to-end AI data center testing solution
- Enables validation of entire AI infrastructure from component to system level
- Addresses growing market opportunity in AI/ML ASIC development
- Supports testing up to 1.6T connectivity speeds
Insights
Keysight’s new KAI architecture represents a strategic positioning in the rapidly expanding AI infrastructure market at a critical inflection point. With data center providers investing
The comprehensive approach—spanning pre-silicon simulation through post-deployment testing—addresses a crucial pain point in AI infrastructure development. Traditional component-level testing often misses system-wide interoperability issues that emerge only under real-world AI workloads, leading to costly performance bottlenecks.
This product suite essentially creates a digital twin of AI data centers, allowing customers to validate performance without disrupting production environments. For AI infrastructure builders facing intense pressure to scale quickly, this could significantly accelerate deployment timelines and optimize return on massive capital investments.
The market timing is opportune, as the industry transitions from general AI foundation models to more specialized applications. Alan Weckel’s commentary confirms the anticipated acceleration in 800GE and 1.6T port shipments, suggesting Keysight is well-positioned to capitalize on this technology transition.
While financial impact details aren’t provided, this represents a logical extension of Keysight’s expertise in test and measurement into one of technology’s fastest-growing segments, potentially opening substantial new revenue opportunities in the AI infrastructure buildout cycle.
- Enables AI infrastructure providers to emulate and optimize all aspects of the data center, from the physical layer through the application layer
- Validates and optimizes system-level performance, delivering seamless interoperability in AI data centers
- Identifies weak links that degrade AI data center performance
Keysight Technologies, Inc. (NYSE: KEYS) introduces the Keysight Artificial Intelligence (KAI) architecture, a portfolio of end-to-end solutions designed to help customers scale artificial intelligence (AI) processing capacity in data centers by validating AI cluster components using real-world AI workload emulation. Providing system-level interoperability, performance, and efficiency insights, KAI helps operators maximize system performance and pinpoint performance issues not found when testing individual components.
The Keysight Artificial Intelligence architecture includes the newly announced KAI Data Center Builder and features four portfolio suites that address all aspects of AI data center design, from pre-silicon simulation to post-deployment system testing and troubleshooting.
Scaling AI data centers requires testing throughout the design and build process — every chip, cable, interconnect, switch, server, and graphics processing unit (GPU) needs to be validated at both the component and system level. Full-stack workload emulation complements physical layer testing, revealing insights not found when testing components alone. Customers can extract peak AI performance sooner, increasing capacity more quickly and maximizing the return on the billions spent on AI clusters.
The KAI architecture enables AI providers, semiconductor fabricators, and network equipment manufacturers to:
- Accelerate design: Debug cutting-edge high-speed digital designs; meet or exceed the latest PCIe, DDR, and CXL standards.
- Accelerate development: Verify component-level compliance, including high-speed interconnects, cables, and chipsets, and validate workload performance at the system level.
- Accelerate deployment and operations: Validate and tune system-level performance across the entire data center, reducing the risk of workload failures by using end-to-end emulation to pinpoint system performance issues before deploying in production.
The Keysight AI architecture, which includes the newly announced KAI Data Center Builder, features four portfolio suites that together address all aspects of AI data center design, from pre-silicon simulation through post-deployment system testing and troubleshooting.
- KAI Data Center Builder. Emulate high-scale AI workloads with measurable fidelity to improve system performance, predict and mitigate the impact of component failures, and optimize data center operations.
- KAI Compute. Optimize high-speed digital designs and pioneer next-generation AI chip development with a suite of AI-ready tools that includes electronic design automation, bit-error ratio testers, oscilloscopes, and arbitrary waveform generators.
- KAI Interconnect. Validate optical and electrical data paths to ensure scalable, high-speed connectivity up to 1.6T with a suite of AI-ready tools, including sampling oscilloscopes, photonic power meters, and network interconnect testers.
- KAI Network. Benchmark AI network performance, detect bottlenecks, and optimize AI workload distribution with a suite of AI-ready tools that includes AI workload emulators, distributed network traffic generators, and network traffic emulators.
- KAI Power. Optimize power efficiency and energy management across data center components with a suite of AI-ready tools that include oscilloscopes, power rail probes, and electronic design automation.
Alan Weckel, Founder and Technology Analyst, 650 Group, said: “Accelerating design and deployment of next-generation AI/ML ASICs is key to unlocking the market as customers move from foundational training to agentic models. AI interconnect through scale-up, scale-out, and frontend networks will drive record 800GE and 1.6T port shipments over the next several years with one of the fastest innovation cycles to ever occur in the industry. The Keysight Artificial Intelligence architecture and KAI Data Center Builder solution will help customers scale and adapt to this new market opportunity.”
Ram Periakaruppan, Vice President and General Manager, Network Test & Security Solutions, Keysight, said: “Scaling AI data centers requires more than component-level validation. Interoperability, performance, and efficiency are system-wide metrics that can only be measured under real-world network conditions. Keysight’s AI solutions integrate our deep experience in traffic emulation, component, and network compliance validation, and the latest industry standards to emulate every aspect of data center performance: compute, network, interconnect, and power to ensure AI infrastructure meets evolving demands.”
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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.
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Source: Keysight Technologies, Inc.
FAQ
What is the main purpose of Keysight’s new KAI architecture for AI data centers?
KAI architecture helps scale AI processing capacity by validating AI cluster components using real-world workload emulation and providing system-level performance insights.
What are the key components of KEYS’ new KAI architecture?
KAI architecture includes five main components: Data Center Builder, Compute, Interconnect, Network, and Power suites, each addressing different aspects of AI data center design and optimization.
How does the KAI Data Center Builder benefit AI infrastructure providers?
It enables emulation of high-scale AI workloads, improves system performance, predicts component failures, and optimizes data center operations before production deployment.
What speed capabilities does KEYS’ KAI Interconnect support?
KAI Interconnect validates optical and electrical data paths for connectivity speeds up to 1.6T.
How does KEYS’ KAI architecture help in AI data center deployment?
It validates and tunes system-level performance across the entire data center, reducing workload failure risks through end-to-end emulation and early issue detection.