Keysight Introduces KAI Architecture for AI Data Centers
Keysight Technologies has introduced the Keysight Artificial Intelligence (KAI) architecture, a comprehensive solution designed to enhance AI data center performance. Announced in a press release, the KAI architecture aims to help AI infrastructure providers optimize and emulate all aspects of data center operations, from the physical layer to the application layer.
The KAI architecture includes the newly launched KAI Data Center Builder and four portfolio suites that cover the entire AI data center design process. These suites address pre-silicon simulation, system testing, and troubleshooting, ensuring seamless interoperability and performance optimization. The architecture allows for system-level validation, helping operators identify and resolve performance issues that are not apparent when testing individual components.
By employing full-stack workload emulation, the KAI architecture provides insights into system performance, enabling faster extraction of peak AI performance and quicker capacity scaling. This approach is crucial for validating every component, from chips and cables to servers and GPUs, ensuring that AI data centers can meet evolving demands efficiently.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Silicon Brief.
Also, consider following us on social media:
More from: Chips & Data Centers
Keysight and Intel Foundry Collaborate on EMIB-T Technology for AI and Data Centers
Huawei Unveils AI Data Lake Solution to Boost Industry Intelligence
DMG Blockchain Acquires 2 MW of AI Data Center Infrastructure
Oomnitza Launches AI-Era Data Center Management Solution
Subscribe to Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more