Purpose-built ML SoC for edge processing
Machine learning company SiMa.ai has announced that it has begun shipping what it claims is the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge. Designed to enable quick and effortless ML experiences for the embedded edge, the software-centric MLSoC Platform addresses any computer vision application and is offered as delivering a 10x better performance/watt solution – operating at the most efficient frames per second/watt.
The platform’s push-button software experience, says the company, allows users to effortlessly scale machine learning in minutes for robotics, smart vision, government, autonomous vehicles, drones, and healthcare applications.
“When we started SiMa.ai 3.5 years ago,” says Krishna Rangasayee, CEO and Founder, SiMa.ai, “we set out to deliver a disruptive 10x performance improvement over alternatives and provide a scalable industry-leading ML experience solving computer vision applications. Today we are delighting customers by delivering on that promise and exceeding their expectations. We are excited to take our very first purpose-built software-centric MLSoC to volume production.”
Along with the product announcement, the company announced partnerships with TSMC, Synopsys, Arm, Allegro, GUC and Arteris. The SiMa.ai MLSoC Platform is available now.
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