DeepX , an on-device AI semiconductor company, announced on the 11th that it has signed a strategic partnership with Wind River, a global embedded software company, to jointly develop next-generation edge AI solutions.
This collaboration aims to develop an on-device AI solution optimized for high-reliability fields such as aerospace, defense, robotics, and industrial automation by integrating DeepX's ultra-low-power AI semiconductors with Wind River's real-time operating system (RTOS) 'VxWorks' and virtualization platform 'Wind River Helix'.
Wind River is a global software company headquartered in California, USA, that has been providing high-reliability edge computing platforms in various fields such as aerospace, automobile, communications, and industrial automation. Its flagship product, 'VxWorks', is evaluated as an operating system with proven stability and real-time performance applied to NASA space probes, autonomous vehicle systems, and 5G network equipment.
DeepX plans to build an advanced integrated system that combines its low-power AI processor with Wind River’s RTOS technology to enable stable performance of AI functions even on edge devices with significant physical constraints. Through this, the two companies aim to expand the industrial application scope of edge AI-based solutions to aerospace and defense.
Kim Nok-won, CEO of DeepX, said, “This collaboration will be an important technological turning point that will allow edge AI to expand into high-reliability industries,” adding, “We expect that it will further enhance the reliability of our products, which are currently being prepared for mass production in various fields such as manufacturing, robotics, and home appliances.”
“Edge AI is increasingly important in mission-critical environments where real-time and reliability are key,” said Avijit Sinha, senior vice president of strategy and global business development at Wind River. “Through our collaboration with DeepX, we will be able to create practical AI use cases across a variety of industries.”
- See more related articles
You must be logged in to post a comment.