SiMa.ai Adopts Arm Technology to Deliver a Purpose-built Heterogeneous Machine Learning Compute Platform for the Embedded Edge

Licensing agreement enables machine learning intelligence with best-in-class performance and power for robotics, surveillance, autonomous, and automotive applications

SiMa.ai, the machine learning company enabling high performance compute at the lowest power, announced the adoption of low-power Arm compute technology to build its purpose-built Machine Learning SoC (MLSoC) platform. The licensing of this technology brings machine learning intelligence with best-in-class performance and power to a broad set of embedded edge applications including robotics, surveillance, autonomous, and automotive.

SiMa.ai is adopting Arm Cortex-A and Cortex-M processors optimized for power, throughput efficiency, and safety-critical tasks. In addition, SiMa.ai is leveraging a combination of widely used open-source machine learning frameworks from Arm’s vast ecosystem, to allow software to seamlessly enable machine learning for legacy applications at the embedded edge.

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“Arm is the industry leader in energy-efficient processor design and advanced computing,” said Krishna Rangasayee, founder and CEO of SiMa.ai. “The integration of SiMa.ai’s high performance and low power machine learning accelerator with Arm technology accelerates our progress in bringing our MLSoC to the market, creating new solutions underpinned by industry-leading IP, the broad Arm ecosystem, and world-class support from its field and development teams.”

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“From autonomous systems to smart cities, the applications enabled by ML at the edge are delivering increased functionality, leading to more complex device requirements,” said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business at Arm. “SiMa.ai is innovating on top of Arm’s foundational IP to create a unique low power ML SoC that will provide intelligence to the next generation of embedded edge use cases.”

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