The Mustang-T100 integrates five Coral Edge TPU™ co-processors in a half-height, half-length PCIe card, and offers well computing speed up to 20 TOPS and extremely low power consumption (only 15W). Moreover, powered by well-developed Tensorflow Lite community, it can smoothly and simply implement the existing model to your edge inference project.

At the heart of our accelerators is the Edge TPU coprocessor. It's a small-yet-mighty, low-power ASIC that provides high performance neural net inferencing. A full height, half length, PCIe Gen3 AI accelerator card that supports up to 8 Coral M.2 Accelerator cards.

Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...

2021年1月26日 · Buy SmartFly info PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU for Edge AI Inference(CRL-G116U-P3DF): Network Cards - Amazon.com FREE DELIVERY possible on eligible purchases

Edge TPU 是 Google 专门为在边缘运行 AI 而打造的 ASIC，它体型小、能耗低，但性能出色，让您可以在边缘部署高精度 AI。 从下图可以看出 Edge TPU 核心的面积仅有一美分的大概十分之一大小。

The Coral Mini PCIe Accelerator is a half-size Mini PCIe module that brings the Edge TPU coprocessor to existing systems and products with an available Mini PCIe slot. The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt).

Designed with energy efficiency in mind, AI Accelerator PCIe Card is equipped with excellent thermal stability to achieve inference acceleration with multiple Edge TPUs. Low power consumption : 36/52 W ( 8/16 Edge TPUs). No external PSU needed : Power is drawn directly from the PCIe slot.

ASUS发布了一款基于Google®Coral Edge TPU处理器的全高半长PCIe Gen3 AI加速卡。

Mustang-T100是一款理想的AI PCIe加速卡，适用于图像分类、目标检测和图像分割。 Mustang-T100 采用五个 Coral TPU 模块设计，能够一次性提供高达 20 TOPS 的机器学习推理速度，且功耗仅为 15W。 为了实现在无障碍环境中运行每个人工智能任务，Mustang-T100可以在-20℃至55℃的宽温度下运行。 Carol Edge TPU™ 能够每秒执行 4 万亿次操作 (4 TOPS)，仅使用 2 瓦功率，即每瓦 2 TOPS，并且可以通过 PCIe Gen2 x1 或 USB2 接口连接。 Coral 的设备端机器 …

The Mustang-T100 integrates five Coral Edge TPU™ co-processors in a half-height, half-length PCIe card, and offers well computing speed up to 20 TOPS and extremely low power consumption (only 15W). Moreover, powered by well-developed Tensorflow Lite community, it can smoothly and simply implement the existing model to your edge inference project.