End-To-End Validation for AI Data Centers

Strengthen Network Reliability for AI-Scale Workloads at 1.6T

At 1.6T, AI infrastructure must be validated under realistic workload conditions that expose latency variation, congestion behavior, and interconnect instability. Discover how to go beyond isolated component testing toward strategies that combine workload emulation, automation, and large-scale traffic generation.

Build and Validate the Next Generation of AI Data Centers

Two engineers working together in a data center.

Validating 1.6T AI Data Center Infrastructure

Validate AI data centers with full-stack visibility, stress-test 1.6T Ethernet interconnect performance from Layer 1 - 3, and ensure transceiver reliability and interoperability under realistic AI traffic conditions.

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Introduction to AI Data Center Emulation and Optimization

Use real-world AI workload emulation to identify network bottlenecks and optimize AI data center performance at scale.

Picture of a hand holding an oscilloscope probe.

Scaling AI Data Centers: Cutting Edge Strategies for Deployment

Learn proven AI scaling strategies from industry leaders and gain practical insights for building high-performance, future-ready infrastructure.

Impage of a trigger point on an oscilloscope screen.

What’s Next for AI? Key Trends and Insights

Explore the trends, technologies, and validation strategies shaping the next generation of AI infrastructure.

Featured On-Demand Webinars

Gain practical insights from Keysight experts for validating next-generation Ethernet networks and AI fabrics at scale.

Webinar

1.6T Ethernet: Simplifying Interconnect Validation

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Gain practical insights to validate, optimize, and scale next-generation AI and networking infrastructure.

Webinar

1600GE AI Fabrics: Validation & Emulation

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Learn to validate AI fabrics, identify bottlenecks, and optimize network performance before deployment.

Webinar

448G PAM4: The Future of 3.2T Data Centers

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Explore the 448G PAM4 breakthrough enabling future 3.2T AI data centers and high-speed Ethernet.

Additional Data Center Resources

Learn more about end-to-end AI data center validation with the latest Keysight resources.

White Paper

Industry Insights: End-to-End AI Validation for 1.6T Networks
White Paper

Rethinking AI-Scale Data Center Validation
Solution Brief

Validating 1.6T Ethernet and Emulating Real AI Workloads
Application Note

TDECQ Measurement Update

White Paper

Industry Insights: End-to-End AI Validation for 1.6T Networks
White Paper

Rethinking AI-Scale Data Center Validation
Solution Brief

Validating 1.6T Ethernet and Emulating Real AI Workloads
Application Note

TDECQ Measurement Update

Products to Help You Validate AI Data Center Infrastructure

Keysight's RoCEv2 Lossless Ethernet Test Bundle for AresONE-S 400GE QSFP-DD 16-port fixed chassis model.

Keysight AI Data Center Builder

Accelerate design and deployment of AI network infrastructure.

Fixed Configuration Sampling Oscilloscopes (DCA-M)

The DCA-M sampling oscilloscopes enable high-speed validation of 224 Gbps/112 GBd PAM4 multimode links for next-generation AI data center infrastructure.