Industrial Automation Magazine India

Spirent AI test solution receives top honours at Interop Tokyo 2024

Published on : Saturday 15-06-2024

Working with its long-standing partner in Japan, TOYO Corporation, Spirent triumphed in the Testing category of Interop’s annual show awards.

Bangalore, June 14, 2024 – Spirent Communications, the leading provider of test and assurance solutions for next-generation devices and networks, has been honoured with three ‘Best of Show’ awards by Interop Tokyo 2024, including the coveted ‘Grand Prize’ for Spirent’s industry-first high density test solution capable of emulating realistic Artificial Intelligence (AI) workloads over Ethernet.

Working with its long-standing partner in Japan, TOYO Corporation, Spirent triumphed in the Testing category of Interop’s annual show awards, where in addition to the Spirent AI Data Center Test Solution, the Spirent B3 800G Appliance, and the Spirent Octobox Wi-Fi 7 test solution were also honored with ‘Best of Show’ Special Prize accolades.

“We are thrilled and honored that our innovative Spirent AI traffic emulation platform has been awarded Interop’s prestigious Grand Prize,” said Masatoshi Nishihara, general manager of Spirent Japan. “The explosion in AI applications and workloads is creating new data center environments, and we are delighted that the judges have recognized the pioneering work done by our engineers to create a ground-breaking new solution. It provides the ability for customers to test Ethernet fabrics in their existing test environments without having to go to the considerable expense of building new xPU server equipped labs to generate AI workloads.”

Spirent’s new AI Test Solution is the first hardware that can emulate the high density 400G xPU workloads for AI environments. Utilising the RoCEv2 protocol, the Spirent platform is designed for ease of use, is straightforward to configure, and provides repeatable and consistent results to reduce the complexity of testing AI use cases. It supports the Collective Communications Library (CCL), which helps create realistic traffic patterns that can cause network congestion resulting in packet loss and high latency – critical to measuring the performance of the training environment under real AI workloads – and boasts the credentials of a true multi-purpose platform that can test both AI and routing/switching use cases concurrently.

“We’re proud to be first company to provide customers with an AI workload emulation platform for Ethernet and are excited that the Interop judges have recognised the significance of our solution as the AI landscape continues to develop and data center architecture evolves to cater to AI/ML workloads,” said Nishihara.

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