Powered by 13TOPS -8L or 26TOPS -8LAI processors, best-in-class energy efficiency Enable real-time, low-latency and efficient AI inference on edge devices Standard M.2 interface module enables fast time to market Supports extended temperature range of -40 to 85, and a robust software suite supports the most advanced deep learning models and applications out of Scalable, enabling 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: -40-85 Operating temperature: -40-85 Storage/operating humidity: 5%RH-90%RH (non-condensing) Power supply: 3.3V5% Thermal design power (): 6.6W Interface: PCle Gen3, 2-lanes (x2) (Due to different batches, the printed words on the product will be different, which does not affect use) Colour:Green Material:PCB Package Contents: 1x Hailo8L Module Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.