AI chipmaker Hailo has announced its partnership with Lanner Electronics, designer and manufacturer of intelligent edge computing appliances, to launch “groundbreaking” AI inference solutions for real-time computer vision at the edge. Hailo has combined its Hailo-8™ AI acceleration module with Lanner’s edge computing boxes to create high-performance, compact devices to support the demands of emerging AI applications at the edge.
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. Scaling AI to meet this challenge requires ultra-high performance and easy to deploy solutions, which the companies say this joint offering provides.
Lanner’s LEC-2290 edge box pairs an x86 CPU with the Hailo-8 AI module to produce a solution capable of optimizing demanding edge workloads and accelerating time-to-market for AI deployments. Lanner’s low-footprint LEC-7242 industrial wireless gateway integrates the Hailo-8 into a fanless, efficient appliance for real-time applications powered by AI at the edge. Both solutions process multiple video streams in real-time on a single device, while securely transmitting curated metadata and insights with robust onboard network connectivity.
Hailo state that Lanner’s modular approach to network appliances provides a clear path for engineers looking to optimize neural processing workloads. Integrated with Hailo’s AI module, Lanner’s fanless Edge AI computers enable mission-critical applications such as video analytics, traffic management, access control, and beyond.
“Our expertise in creating effective purpose-built hardware platforms, combined with Hailo’s unparalleled AI module performance, will provide industries with a reliable vision-based solution that is low power, low latency and cost-effective”, said Geoffrey Egger, VP and GM of Lanner Intelligent Edge BU. “We are confident that together, our vision inference solutions will enable industries ranging from smart retail to smart cities to push computing to the edge”.
Hailo’s Hailo-8™ AI acceleration module features up to 26 Tera Operations Per Second (TOPS) and the module is built with an architecture that enables edge devices to run sophisticated deep learning applications that could previously only run on the cloud. Hailo believes that its structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.
“Lanner’s hardware platforms bring proven reliability, with a purpose-built design that can withstand the distinct challenges of the industrial edge. Combined with the Hailo-8 AI module, the joint solution provides unmatched AI performance that is more powerful, scalable, and cost-efficient than competing solutions”, said Orr Danon, CEO and Co-Founder of Hailo. “We look forward to seeing the positive impact that our collaborative platform will have on rapidly evolving sectors including smart cities, smart retail, industrial IoT, and beyond”.
The Hailo-8™ recently won the 2021 Edge AI and Vision Product of the Year Award for Best Edge AI Processor. Learn more about why Hailo was chosen as the winner of this prestigious award here.
Hailo is an AI-focused, Israel-based chipmaker, that has developed a specialized Artificial Intelligence (AI) processor that delivers the performance of a data centre-class computer to edge devices. Supported by its Hailo-8™ M.2 and Mini PCIe high-performance AI acceleration modules, the deep learning processor is designed to fit into a multitude of smart machines and devices, impacting a wide variety of sectors including automotive, industry 4.0, smart cities, smart homes, and retail. The company was founded in 2017 by members of the Israel Defense Forces’ elite technology unit.
Lanner Electronics Inc is a provider of design, engineering and manufacturing services for purpose-built advanced network appliances and rugged applied computing platforms for OEMs, system integrators, service providers and application developers.