Google Coral USB Accelerator

Datasheet (EN)

Artno.: GG1-145601

Google Coral USB Accelerator

Compute Stick for hardware acceleration of Machine Learning, 4 TOPS Google Edge TPU

74.90 € incl. 19% VAT

62.94 € excl. VAT

plus shipping

Out of stock

Description

The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port.

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). 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.

It connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10. There is no need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.

Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

Model Overview

		Coral Dev Board
ML Accelerator		Google Edge TPU coprocessor 4 TOPS (int8); 2 TOPS per watt
CPU		4x 1.5 GHz NXP i.MX 8M SoC (Cortex-A53, Cortex-M4F)
RAM		1/4 GB LPDDR4
Flash Memory	eMMC	8 GB
Flash Memory	micro-SD Slot

		Coral Dev Board	Coral USB Accelerator
Connectivity	HDMI	1x HDMI 2.0a
	USB	1x USB 3.0 Host 1x USB-C OTG 1x micro-USB Serial Console	1x USB-C (Data/Power)
	LAN	1x Gigabit Ethernet
	WLAN	2.4 / 5.0 GHz IEEE 802.11b/g/n/ac (2x2 MIMO)
	Bluetooth	Bluetooth 4.2
	GPIO	40-pin GPIO Header
	Weitere	MIPI-DSI (4 Lanes), MIPI-CSI2 (4 Lanes), 3.5mm Audio, 2x PDM microphone, 4-Pin Stereo speaker connector
Multimedia	Hardware- De-/Encoder	H.265/HEVC/VP9 (4Kp60) AVC/H.264 (4Kp30) H.263/MPEG-2/MPEG-4p2/VC-1/VP8/RV9/AVS/MJPEG (1080p60)
Multimedia	Grafik	OpenGL ES 1.1, 2.0, 3.0, 3.1, Open CL 1.2, Vulkan
Power		5V/3A (via USB-C Power)	5V/500mA (via USB-C Data/Power)
Dimensions		88 x 60 x 24 mm	65 x 30 x 8 mm