About this item

The Coral TPU Mini PCIe Module is a compact machine learning accelerator developed by Google to enhance edge AI capabilities in embedded systems. Equipped with the Edge TPU, a purpose-built ASIC, it delivers up to 4 TOPS (trillion operations per second) while consuming only 2 watts of power, making it highly efficient for real-time inferencing tasks. The module features a PCIe Gen2 x1 interface and is designed in the Half-Mini PCIe form factor, ensuring compatibility with a wide range of devices, including embedded platforms, mini-PCs, and industrial gateways. With dimensions of 30.0 x 26.8 x 2.55 mm and a weight of 6 grams, it is suitable for space-constrained applications. The module operates within a temperature range of -20°C to +85°C and supports a 3.3V ±10% DC supply. It is ideal for deploying TensorFlow Lite models, such as MobileNet v2, achieving nearly 400 frames per second, thereby reducing latency and dependency on cloud services. The Coral TPU Mini PCIe Module is an excellent choice for developers seeking to integrate efficient AI processing into their edge devices