Success Story: Building Next-Generation AI Networks
Case Studies
Learn how Juniper Networks partnered with Keysight to build network infrastructure for AI networks. Discover how the Keysight network emulation tools helped Juniper test and validate their products against real-world demands of AI data centers.
Improve AI fabric performance, GPU utilization, and model training time by emulating real-world AI data center environments at speeds up to 800GE change with the Keysight AI (KAI) Data Center Builder. Validate cluster behavior at scale and fine-tune performance by recreating the behavior of AI-native network infrastructure and protocols — including RDMA NICs and RoCEv2 traffic patterns. KAI Data Center Builder helps network architects validate lossless ethernet and measure the impact of AI-specific features like congestion management, retransmission, and load balancing. With automated test management and reporting, Keysight makes it easy to compare test results to real-world reference data.
Juniper’s AI data center solution is a quick way to deploy high performing AI training and inference networks that are the most flexible to design and easiest to manage with limited IT resources. Juniper integrates industry-leading AIOps and world-class networking technologies to help customers easily build high-capacity, easy-to-operate network fabrics that deliver the fastest JCTs, maximize GPU utilization, and use limited IT resources.
