™ Welcomes Moshe Gavrielov to Its Board of Directors

Industry veteran brings decades of experience to help disrupt the embedded edge market

SAN JOSE, Calif.--(), the company enabling high performance machine learning to go green, today announced the appointment of Moshe Gavrielov to its Board of Directors. Gavrielov brings decades of experience across public and private sectors to help disrupt the embedded edge market. In October, the company introduced the™ MLSoC™, the industry’s first Machine Learning Platform to break the 1000 FPS/W barrier with 10-30x improvement over alternative solutions.

Gavrielov recently served as the President and CEO of Xilinx, where he drove the company through strategic and operational transformations, resulting in financial accomplishments that drove the Xilinx stock up by 4x during this time period, as well as significant market cap expansion approaching a valuation of $20B. Today he also serves on the Board of TSMC and Foretellix, Ltd., and as Chairman of the Board of Wind River Systems, a TPG Company.

I’m thrilled to welcome Moshe to our Board of Directors,” said Rangasayee. “His deep technology expertise and proven track record driving business growth with start-ups and public companies alike will help guide to realize our full potential.”

I truly believe that the future of compute is high performance machine learning at the edge, and today power is the limiter,” said Gavrielov. “Disrupting this market requires a deep understanding of systems and applications, customer intimacy, and a new software-centric architecture.’s world-class team has all of these attributes and is well positioned to deliver the industry's best high performance machine learning solution at the lowest power. It’s my privilege to join in its mission to solve the industry’s biggest challenge at the embedded edge.”

About is the company enabling high performance machine learning to go green. Led by a team of industry experts, the company is committed to delivering the highest frames per second per watt solution in the market to its customers – accelerating the proliferation of high performance machine learning inference at very low power in embedded edge applications. Is your ML Green?™

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