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A New Way to Design and Deploy AI Data Centers
Emulate and optimize next-generation AI data centers
Is Your Data Center AI-Ready?
AI models are pushing data centers beyond industry standards. To stay ahead, every component in your data center — from graphics processing units (GPUs) and servers to interconnects and cables — must deliver flawless performance and interact seamlessly at the system level under complex, high-scale AI workloads.
Your Path to AI-Ready Data Centers
Keysight is redefining AI data center performance and scalability. Sign up to get an exclusive first look at our latest innovations for emulating and optimizing AI data centers.
The Future of AI Data Centers Starts Now
Key AI data center trends
Read the latest insights on AI data center trends from our experts and uncover the forces behind these numbers.
Case study: Juniper maximizes AI fabric performance with Keysight
Discover how Juniper Network improves AI fabric performance and GPU utilization by emulating real-world AI data center environments at speeds up to 800GE. With the help of Keysight, network architects can easily validate cluster behavior at scale and fine-tune performance by replicating complex AI-native network infrastructures and protocols — including RDMA NICs and RoCEv2 traffic patterns.
AI data center resources
Gain insights from our white paper, customer success stories, and posters.
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“Businesses and individuals will move AI and machine learning solutions from the curious and interesting to the inevitable.”
NILESH KAMDAR, SenioR DeSign and Verification Lead at keysight
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“With Keysight, we are able to replicate the real data center environment — specifically for AI data center requirements, such as RoCEv2. And (their solution) goes up to 800G line rate to validate the software features on our switches.”
Mahesh Subramaniam, Director of Product Management, AI Data Centers AT JUNIPER NETWORKS
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"Keysight was instrumental in providing the equipment for Intel to validate its first-to-market 224 Gb/s-PAM4-LR transceiver technology."
Dr. Peng Mike Li, Chief Technologist AT INTEL
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