Powered by 13 TOPS -8L or 26 TOPS -8L AI processors, offering best-in-class energy efficiency Enables real-time, low-latency, and efficient AI inference on edge devices Standard M.2 interface module for fast time to market Supports extended temperature range of -40C to 85C, with a robust software suite for advanced deep learning models and applications Scalable design enables simultaneous processing of multiple streams and multiple models Performance (INT8): 13 TOPS Supported frameworks: TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch Supported operating systems: Linux Supported host architecture: x86 or ARM based Storage temperature: -40C to 85C Operating temperature: -40C to 85C Storage/operating humidity: 5% RH to 90% RH (non-condensing) Power supply: 3.3V 5% Thermal design power: 6.6W Interface: PCIe Gen3, 2-lanes (x2) Note: Due to different production batches, printed markings on the product may vary; this does not affect functionality Color: Green Material: PCB Package Contents: 1 x Hailo-8L Module Note: Light reflection and display differences may cause slight color variations between the image and the actual item. Measurement error allowance: +/- 1-3 cm.