Keysight Technologies introduced the Keysight AI Data Center Test Platform, designed to accelerate innovation in AI / ML network validation and optimization.

The solution significantly improves benchmarking of new AI infrastructures with unprecedented scale and efficiency.

To overcome this challenge and accelerate the design and testing of AI / ML infrastructure, the Keysight AI Data Center Test Platform delivers highly tunable AI workload emulation, pre-packaged benchmarking apps, and dataset analysis tools to significantly improve performance of the AI / ML cluster network fabric.

To accelerate AI / ML network design, Keysight’s solution for data centers:

- Emulates high-scale AI workloads with measurable fidelity – Offers deep insights into collective communication performance

- Simplifies the benchmarking process – Provides validation of AI network fabric with pre-packaged benchmark applications, built through partnerships with the largest AI operators and AI infrastructure vendors

- Executes defined AI / ML behavioral models – Enables sharing between users and customers to help reproduce experiments

- Offers a choice of test engines – Choose between AI workload emulation on Keysight hardware load appliances and software endpoints or real AI accelerators to compare benchmarking results

The Keysight platform enables large scale validation and experimentation with fabric design in a realistic and cost-effective way. This solution complements testing AI / ML workloads using GPUs, providing AI operators with a more scalable, robust, and integrated AI test platform.

Ram Periakaruppan, VP and GM, Network Test & Security Solutions, Keysight, said: “As a leader in testing ultra-high-speed 800G Ethernet networks, Keysight continues to lead the way in innovation, having formed close partnerships with hyperscalers to co-design this groundbreaking new AI test platform that realistically benchmarks and emulates high-scale AI workloads unlike other test tools available today.”