Events

 

Implementation of AI-based Smart City applications at the edge is crucial in mission-critical applications that require real-time data processing and low-latency response. For example, the AI-powered machine vision system at the factory edge network can process the vision data analytics, deep Learning Inference and relearning, resulting in immediately improving the flaw detection accuracy, without streaming large volumes of data to the cloud that lead to higher overheads in network bandwidth and power consumption.

OpenRAN is anticipated as the next revolution for Radio Access Network (RAN) infrastructure, and considered as an optimal solution to enhance capacity and coverage, while reducing latency caused by escalating growth of data on the 5G network. OpenRAN solutions offer flexibility and scalability through the disaggregation of hardware and software, and the utilization of Commercial-Off-The-Shelf (COTS) hardware.

Organizations and enterprises are increasingly requiring an edge networking platform that not only prioritize end-user experience, holistically manage their WAN and LAN for automated management, and integrate high-level security features. AIOps (artificial intelligence for IT operations) are multi-layered technology platforms that automate and enhance IT operations through analytics, machine learning, and artificial intelligence – can handle these digital transformation issues.

Join Lanner’s keynote at NVIDIA’s GTC 22 to learn how to leverage GPU-Accelerated computing platforms in ICT infrastructure to accelerate time to market for your Smart City solutions.

5G is anticipated to realize a wide range of new applications requiring the distributed edge cloud to meet the demands of high bandwidth, ultra-low latency communication and real-time data processing. 5G architecture is essentially designed to take advantage of network disaggregation and virtualization technology to deliver services and applications at the edge. At MWC 2022, Lanner will showcase our latest hardware platforms designed for SD-WAN, Open RAN and MEC. Come visit our booth at Hall 5 (#5E80) from February 26 to March 3, 2022.

Smart cities, retail, and industrial operations require hundreds of cameras generating video streams that need to be processed locally, quickly, and efficiently with minimal latency. Advanced AI vision systems now face fundamental challenge in latency and reliability to deliver high-volume, low-latency AI inferencing at the edge networks.

The release 5G is anticipated to realize a wide range of new applications requiring the distributed networks to meet the demands of high bandwidth, ultra-low latency and real-time data processing. 5G architecture is essentially designed to take advantage of cloud-native concepts – the ability to communicate in a micro-services environment, and deploy network disaggregation and virtualization technology to deliver services and applications.

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