A Smart City is a well-connected infrastructure that constantly and intelligently interacts with the environments, things, and human beings. At the scale of a city, punctual data processing and smart service delivery require accelerated and coordinated Edge and Cloud infrastructures. Likewise, continuous growing and metabolizing infrastructures demand rapid implementations, elastic workload orchestration, and a GPU-Accelerated methodology.
Integrated with GPU and pre-validated with AI solution partner, Lanner industrial-grade Edge AI platforms enable Smart City solutions with specific requirements for low-latency, high-throughput, and/or power efficiency in reliable and mission-critical applications. GPU-accelerated Edge AI appliances, including deep learning inference servers, computers, acceleration modules and AI starter kit, can build the smart city infrastructures efficiently and economically.
Lanner provides server-grade Edge AI inference servers with multi-core processing, integrated BIOS security, GPU acceleration and scalability. Integrated with Intel Xeon CPU, massive storage and PCI-E expansion for GPU acceleration, these high-performance servers are designed for parallel processing power required in the most sophisticated AI machine vision and deep learning applications.
Lanner provides full range of rugged edge AI appliances designed for mission-critical applications, such as vision analytics, machine vision and traffic monitoring. With unique ruggedized design required for different industry, Lanner deep learning inference AI platforms features AI-optimized processing, wide operating temperature, LTE/5G connectivity and rich I/O interface.
Lanner Edge AI Starter Kit aims to deliver an all-in-one platform composed of AI-accelerated hardware and application-tailored software to accelerate time-to-market AI deployment at the industrial edge, such as vision inspection, predictive maintenance and operator monitoring.
Lanner offer swappable AI acceleration cards designed for GPU acceleration and video transcoding. These module features onboard Intel CPU and NVIDIA GPU to optimize high-volume video delivery and AI-based video data analytics at the edge, without streaming large volumes of data to the cloud that leads to higher overheads in network bandwidth and power consumption.