How to Test AI Data Center Networks

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Testing an AI data center network requires network traffic emulators and software with prepackaged methodologies that support AI workloads. The AI data center network test solution includes Keysight AresONE 1600GE RoCEv2 endpoint emulation paired with Keysight AI Data Center Builder software. This solution can repeatably create scenarios with different data sizes resulting from collective communications in an AI cluster. Each port on the AresONE emulates GPUs and RDMA NICs. The traffic includes emulating queue pair (QP) connections and flows, generating congestion notifications, performing Data Center Quantized Congestion Notification-based (DCQCN) dynamic rate control, and providing flexibility to test throughput, buffer management, and equal cost multi-path (ECMP) hashing. With this solution, engineers can perform multiple design experiments, measure the performance improvements in the lab, and then apply the results to a production environment without the need for dedicated AI compute nodes and NICs in the lab.

Image for 947-4071 RoCEv2 Lossless Ethernet Test Bundle for AresONE-S 400GE QSFP-DD 16-port Fixed Chassis Model

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947-4071 RoCEv2 Lossless Ethernet Test Bundle for AresONE-S 400GE QSFP-DD 16-port Fixed Chassis Model

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