At Embedded World Conference 2022, Embedded Computing Design has chosen Lanner’s best efficient AI Acceleration Card, the Falcon H8, as one of the winners singled out for “Best in Show” in the AI & Machine Learning category. Lanner's Falcon H8 modular, PCIe FHHL form factor provides a compact and easily deployable solution for engineers looking to offload CPU loading for low-latency deep learning inference.

Intelligent edge computing appliances continuously require AI (Artificial Intelligence) technologies, especially compute-intensive operations that demand intelligent video analysis at the edge. An AI accelerator card provides offload CPU loading, increases efficiency, and improves performance, in addition to the instant ability to plug into intelligent transport systems (ITS), smart cities, smart retail, and Industry 4.0 applications.

With high-density AI processors, the Falcon H8 accommodates 4, 5, or 6 Hailo-8™ AI processors, offering a modular, cost-effective Edge AI solution with high processing capabilities and power efficiency. Through a standard PCIe interface, the Falcon H8 AI Accelerator Card enables legacy devices such as NVRs, Edge AI boxes, Industrial PCs, and robots to run video-intensive, mission-critical Edge AI applications such as video analytics, traffic management, access control, and beyond.

The performance of the Falcon H8 demonstrates 156 TOPS, 8000 FPS of ResNet-50 and 1300 FPS of YOLOv5 for deep neural networks and object detection. Additionally, AI acceleration card supports multiple deep learning developer tools as Hailo Model Zoo, providing advanced deep learning models, and Hailo TAPAAS (Template APPlications And Solutions AI Applications), an infrastructure for edge applications.

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Additionally, the Hailo AI Dataflow Compiler and standard PCIe single slot form-factor are included for easy hardware and software integration. The Hailo AI compiler features a profiler and emulator that support TensorFlow and ONNX formats.

“Optimized for AI performance and ease of deployment, Lanner is pleased to partner with Hailo to design a next-gen AI accelerator card that brings top-performing AI computing to the edge of industrial IoT,” said Jeans Tseng, CTO of Lanner Electronics. “Our expertise in creating edge AI computing hardware, combined with Hailo-8 AI chip and AI software support, provides system integrators a more powerful, scalable, and cost-effective solution, than any other solutions available on the market today.”

Operating features include:

  • Power consumption: Typical: 35W
  • Temperature Operating: 0~70ºC (Commercial Grade), -40~85ºC (Industrial Grade)
  • Humidity 5% - 90% RH, Non-condensing
  • Dimension: 167.65mm x 111.15mm without bracket

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High-performance And Cost-efficiency PCIe AI Accelerator Card

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