www.electronics-usa.com
23
'21
Written on Modified on
Lanner Electronics
Lanner Partners with Microsoft to Deliver Edge-to-Cloud AI Deployments
Lanner Electronics, a global leader in the design and manufacturing of intelligent edge computing appliances, announced today its partnership with Microsoft Azure to launch Edge-to-Cloud AI Solution, integrating Lanner AI accelerated intelligent edge appliance with Azure IoT edge module, runtime, cloud interface. Leveraging Azure IoT edge capability to execute the AI inference model, Lanner Edge AI appliances simplify AI deployments at the edge, reducing communications latency and increase workload efficiency.
Lanner AI Accelerated Intelligent Edge Appliances
The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks. Lanner provides configure-to-order Edge AI platforms specifically engineered for compute-intensive, AI-powered video analytics in the network edge. Powered by the Intel xPUs, PoE connectivity and AI acceleration support with Intel, NVIDIA and Hailo DL processors, Lanner Edge AI inference systems can run a variety of computer vision algorithms to improve the AI-based video applications, such as retail video analytics, machine vision, physical security and traffic monitoring. Lanner AI/ML solutions are also validated and edge-ready out-of-the-box for streamlined AI deployments and wide spectrum of silicon partners’ toolkits, SDK and libraries fast-tracks edge AI solutions with its comprehensive catalog of software offerings for edge-to-core solutions
Microsoft Azure IoT Service
Microsoft Azure IoT Service is integrated based on its decades of enterprise experience and adopts a design suitable for all organizations. Microsoft Azure IoT Service leverages IoT platform services to build industry-leading IoT solutions. With secure, enterprise-level, predictable pricing and industry-focused features, it can be expanded with business growth, ensuring that your assets can be reused and integrated with existing business applications.
