Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge

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Engagement Leverages Synopsys’ DesignWare IP, Verification Continuum, and Fusion Design Solutions to Accelerate Development of SiMa.ai MLSoC Platform
Synopsys, Inc. announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge. Through this engagement, SiMa.ai has adopted key products from Synopsys DesignWare IP, Verification Continuum Platform, and Fusion Design Platform for the development of their MLSoC, a purpose-built machine-learning platform targeted at specialized computer vision applications, such as autonomous driving, surveillance, and robotics.
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SiMa.ai selected Synopsys due to its expertise in functional safety, complete set of proven solutions and models, and silicon-proven IP portfolio that will help SiMa.ai deliver high-performance computing at the lowest power. With Synopsys’ automotive-grade solutions, SiMa.ai can accelerate their SoC-level ISO 26262 functional safety assessments and qualification while achieving their target ASILs.

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“Working closely with top-tier customers, we have developed a software-centric architecture that delivers high-performance machine learning at the lowest power. Our purpose-built, highly integrated MLSoC supports legacy compute along with industry-leading machine learning to deliver more than 30x better compute-power efficiency, …

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