Cloud native EDA tools & pre-optimized hardware platforms
SiMa.ai is at the forefront of ushering in an age of effortless machine learning (ML) for the embedded edge. With its team of software, semiconductor design, and machine learning experts, SiMa.ai aims to disrupt the $10T+ embedded edge market by replacing decades-old technology with a purpose-built, software-first platform that scales ML at the embedded edge. The company recently achieved first-silicon success for its Machine Learning System-on-Chip (MLSoC) platform, which uses Synopsys design, verification, IP, and design services solutions.
As SiMa.ai integrates machine learning at the embedded edge, it faces several challenges:
SiMa.ai leveraged Synopsys solutions to address these challenges:
The collaboration between SiMa.ai and Synopsys yielded significant benefits:
By seamlessly integrating ML into its SoC, SiMa.ai is transforming how intelligence can be integrated into an array of ML devices used in computer vision applications for the embedded edge. The expertise available from Synopsys helps AI hardware pioneers like SiMa.ai bring their revolutionary concepts to life and make an impact in the ML-driven embedded edge space.