G650-04686-01 Coral M.2 Accelerator B+M Key

The Coral M. 2 Accelerator is an M. 2 module that brings the Edge TPU coprocessor to existing systems and products. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with low power requirements: it's capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for constant high-bandwidth connectivity. The M. 2 Accelerator is a dual-key M. 2 card (either A+E or B+M keys), designed to fit any compatible M. 2 slot. This form-factor enables easy integration into ARM and x86 platforms so you can add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways. AI-enabled NVR system If you are planning to use Coral M. 2 B+M Accelerator for Home Assistant of home automation applications, we recommend Odyssey Blue, an Intel Celeron J4125 powered X86 Windows/Linux mini PC, you can set them together with ip cameras for a local AI processed NVR system. Frigate is a completely open source and local NVR designed for Home Assistant with AI-powered object detection. It uses OpenCV and Tensorflow to perform real-time object detection locally for IP cameras.

It brings a rich set of features including video recording, re-streaming, motion detection, and supports multiprocessing. The Coral M. 2 Accelerator B+M key integrates an Edge TPU into existing computer systems using an M. 2 B-key or M-key interface. This module is particularly well-suited for mobile and embedded systems that can benefit from accelerated machine learning.
Key FeaturesPerformance: The Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS) with a power consumption of just 2 watts. Modern Mobile Vision models, such as MobileNet v2, can be efficiently run at nearly 400 FPS.
Compatibility: Supported on Debian Linux-based systems and Windows 10. Systems without an M. 2 slot can be upgraded using the Coral USB Accelerator.
Technical SpecificationsTPU: Google Edge TPU ML accelerator coprocessor (4 TOPS, 2 TOPS per watt)
Interface: M. 2 B+M-key (via PCIe Gen2 x1 lane)
Dimensions: 22 mm x 80 mm x 2.35 mm (M.
2-2280-B-M-S3) Weight: 5.8 g
Operating Temperature: -20 to +85CHost
System RequirementsLinux: 64-bit Linux Debian 10.0 / Ubuntu 16.04 (or newer), x86-64 or ARMv8 (64-bit)
Windows: Windows 10 (64-bit), x86-64 CPU architectureImportant NotesRefer to the datasheet for peak current requirements (up to 3 A for the Edge TPU) and thermal management. The Edge TPU includes a built-in temperature sensor and allows parameters to be configured for shutdown.
Warning: Overheating can lead to fire or hardware damage. Potential for Industrial ApplicationsThe Coral Edge TPU is a revolutionary product for machine learning applications, enabling embedded solutions that can detect workpiece issues, monitor traffic conditions, and more.