SiMa.ai, a leader in edge machine learning, has announced a collaboration with Wind River, a global pioneer in mission-critical intelligent systems, to accelerate the development and deployment of AI/ML applications at the intelligent edge.
The partnership brings together SiMa.ai’s purpose-built Machine Learning System-on-Chip (MLSoC) platform with Wind River’s real-time operating system, VxWorks®, to deliver integrated solutions for intelligent edge use cases. The joint offering is designed to provide low-power, high-performance AI/ML capabilities with real-time precision, addressing demands in sectors such as automotive, robotics, healthcare, and industrial automation.
“Edge devices require software and silicon that deliver optimal performance with extremely low power, and with our partnership with Wind River, we are delivering on that promise to our customers,” said Krishna Rangasayee, CEO and founder of SiMa.ai. “We look forward to enabling seamless AI/ML experiences for developers looking to deploy high-performance applications at the embedded edge.”
Also Read: Grafana Dashboards to Integrate with Microsoft Azure Monitor for Enhanced Observability
By combining SiMa.ai’s software-centric MLSoC with Wind River’s proven real-time infrastructure, the solution aims to simplify development and reduce time to market for AI-powered edge systems. Developers using the integrated stack can achieve deterministic performance while leveraging advanced machine learning models, all within a low-power footprint.
“Wind River is committed to supporting cutting-edge technologies that empower intelligent systems, and our work with SiMa.ai helps deliver next-generation performance to the embedded edge,” said Avijit Sinha, President of Wind River. “This collaboration will enable innovators to harness AI/ML at scale, in real time, across critical industries.”
The initiative underscores both companies’ dedication to shaping the future of edge computing through advanced AI integration and continued ecosystem collaboration.