Google Coral USB Accelerator
Artno.: GG1-145601
Compute Stick for hardware acceleration of Machine Learning, 4 TOPS Google Edge TPU

74.90 € incl. 19% VAT
62.94 € excl. VAT
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 Coral USB Accelerator
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
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)
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


Shipping weight: 0.09 Kg

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