SiMa.ai’s MLSoC recognized for its ease of use, power efficiency, and high performance
SiMa.ai has announced that it has been named an IDC Innovator in the IDC Innovators: AI/ML at the Edge, 2024.
According to the IDC Innovators report, “SiMa.ai is recognized as an IDC Innovator because of its approach to enabling machine learning at the edge. SiMa.ai produces a software-centric Machine Learning System on Chip (MLSoC) that consumes very little power compared with competitive ML-optimized chips and is purpose built for the embedded edge market. Unlike standalone accelerators, SiMa.ai delivers lower power and higher performance for devices with size, weight, and power (SWaP); extended temperature; reliability; and diverse packaging requirements.” The IDC Innovators report notes, “Each of the vendors in this IDC Innovators document offers products that help bridge the gap between ideation and real use cases.”
“We believe this research validates the work SiMa.ai is undertaking to usher in the next age of intelligence at the edge.”
Krishna Rangasayee, Founder and CEO at SiMa.ai
SiMa.ai provides a machine learning system on a chip (MLSoC), Palette Software, and an MLSoC Developer Kit to make the deployment and scale of complete ML pipelines at the embedded edge highly performant and power efficient. SiMa’s offerings represent a fusion of hardware and software that ultimately lets customers enable their products and services with AIML quickly and without acquiring new expertise to implement AIML technology.
“We are honored to be recognized as an IDC Innovator for AI/ML at the Edge,” said Krishna Rangasayee, Founder and CEO at SiMa.ai. “We believe this research validates the work SiMa.ai is undertaking to usher in the next age of intelligence at the edge. Our team is proud to deliver solutions that will change the game for industrial robotics, computer vision, smart retail, and autonomous vehicles, as we continue to optimize large multi-modal models to enable the next generation of intelligent edge devices.”
The report noted, “SiMa.ai is uniquely positioned to overcome one of the biggest hurdles to enabling AI and ML at remote locations.” The report also noted, “SiMa.ai has focused on ease of use, enabling a ‘push button’ experience when integrating machine learning capabilities into devices at the edge, including drones, video cameras, robots and industrial equipment, autonomous vehicles, and healthcare imaging technologies.”
