NI Announces Real-time Analytics Enablement by Collaborating with Leading ATE Vendor - Seite 2

Teradyne Archimedes analytics solution integrates technologies like data analytics, artificial intelligence, and machine learning into test solutions. Its open architecture supports leading analytics solution models and enables a secure stream of real-time data with near-zero test time impact that improves quality, increases yield, and reduces tester down time. “Teradyne is excited to collaborate with NI to support advanced analytics on their Global Operations Platform,” said Regan Mills, Vice President of Marketing for Semiconductor Test at Teradyne, “Advanced learning models, coupled with secure, genuine data, are crucial to delivering quality end products and supporting emerging technologies. NI’s GO Platform and Teradyne’s Archimedes delivers an end-to-end solution that offers real-time data lifecycle management in a secure and protected environment.”

As a member of the Teradyne Archimedes ecosystems, NI GO analytics models and applications gain the computing resources available to act closer to test activities than ever before, which means data-driven actions and controls can be triggered during test execution. In addition, these models benefit from the security protocols native to the ATE servers, meaning all data and IP are sufficiently protected. As a result, existing solutions, like Re-binning or DPAT, can be more impactful in real time, while also opening the door for next-generation and DIY solutions that were never thought possible, like drift detection.

This development from NI is more than just their contribution to the recent industry changes in the semiconductor test and analytics ecosystem. It completes the entire analytics pipeline from tester to edge to cloud and back. This means the real-time, ATE-based models are not isolated or stagnant. They are powered by a larger analytics ecosystem that connects all testers and test floors, internal and external, to a single, big data instance, allowing deeper learning for more impactful, continuously updating insights. In addition, the GO Edge Servers act as the model and app management hub to ensure the real-time models are deployed, updated, tracked, and EOLed effectively.