Top 9 Coral Dev Board – Computer Motherboards

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1. Google

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Coral Dev Board

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Google #ad - For example, in a power efficient manner. Ram: 1 gb lpddr4. Tensorflow lite models can be compiled to run on the edge TPE. Cpu: nxp i. Mx 8m soc quad cortex-A53, cortex-m4f. Performs high-speed ml inferencing: the on-board edge tpu coprocessor is capable of performing 4 trillion operations tera-operations per second tops, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, using 05 watts for each tops 2 tops per watt.

Gpu: integrated C Lite Graphics. The som can be removed from the baseboard, ordered in Bulk, and integrated into your hardware. Scale from prototype to production: considers your manufacturing needs. A development board to quickly prototype on-device ML products. Supports automl vision edge: easily build and deploy Fast, high-accuracy custom image Classification models to your device with automl vision edge.

Ml accelerator: Google edge TPU Coprocessor. Scale from prototype to production with a removable system-on-module som. Supports tensorflow lite: no need to build models from the ground up. Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux We call Mendel, so you can run your favorite Linux tools with this board.
BrandGoogle #ad
ManufacturerGoogle #ad
Part NumberG950-01455-01
ModelG950-01455-01

2. Google

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Google Coral Dev Board Mini

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Google #ad - The board includes the edge tpu coprocessor, which is a small asic designed by Google that accelerates TensorFlow Lite models in a power efficient manner. Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.

It's capable of performing 4 trillion operations tera-operations per second tops, using 05 watts for each tops 2 tops per watt. The coral dev board mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing.

Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device. Mediatek 8167s soc quad-core Arm Cortex-A35. 2 gb lpddr3 and 8 gb eMMC memory. Tensorflow lite models can be compiled to run on the Edge TPU. Supports tensorflow lite: no need to build models from the ground up.
BrandGoogle #ad
ManufacturerGoogle LLC #ad

3. Generic

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Google Coral Dev Board

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Generic #ad - Small footprint. High speed TensorFlow Lite inferencing. Low power. Nxp i. Mx 8m soc quad-core cortex-A53, plus Cortex-M4F. Google edge tpu ML Accelerator Coprocessor.
BrandGeneric #ad
ManufacturerGoogle #ad
Height1 Inches
Length5 Inches
Width4 Inches
Part NumberG950-01456-01
ModelNA

4. Google-Coral

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Compatible with Coral Dev Board and Raspberry Pi Boards, Environmental Sensor Board

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Google-Coral #ad - An accessory board that provides temperature, light, and humidity sensing for IoT applications. Supports tensorflow lite: no need to build models from the ground up.

Expandable input: Four integrated Grove connectors allow you to add additional sensors. Tech specs: display-128x32 oled display, humdity-hdc2010 humidity sensor, i2c, barometric-BMP280 barometric pressure sensor, Security-Microchip ECC608 crypto chip with Google keys, connections-four grove connectors, uart, pwm, light-opt3002 ambient light sensor, Power-3.33/5v analog. Tensorflow lite models can be compiled to run on USB Accelerator. Works with google cloud iot core: the inclusion of a secure element allows it work with Google's Cloud IOT Core.
BrandGoogle-Coral #ad
ManufacturerGoogle-Coral #ad
Part NumberSM-IA1

5. Anidees

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Anidees Aluminum case with top lid for Google Coral Dev Board – Black AI-G-BB

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Anidees #ad - Not just a aluminum case, it's the craft, Harmonious, refined and striking design with easy access to all inputs and outputs. Noise-absorbing Feet, 2 Wood screws for wall mounting. 5mm thickness top cover to show off the system. Aluminum casing, top cover with cutouts for fan and heat sink.
BrandAnidees #ad
Manufactureranidees #ad
Height1.3 Inches
Length3.62 Inches
Width2.65 Inches
Part NumberAI-G-BB

6. Google Coral

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Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

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Google Coral #ad - Compatible with Google Cloud. Specifications: arm 32-bit cortex-m0+ microprocessor mcu: up to 32 mhz max 16 kb flash memory with ECC 2 KB RAM Connections: USB 3. 1 gen 1 port and cable SuperSpeed, 5Gb/s transfer speed. Features: google edge tpu ml accelerator coprocessor, supports debian linux on host CPU, USB 3. 0 type-c socket, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible.
BrandGoogle Coral #ad
ManufacturerGoogle Coral #ad
Height1 Inches
Length3 Inches
Width2 Inches
Part NumberCoral-USB-Accelerator
ModelCoral-USB-Accelerator

7. SaharaMicro

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5V 2.5A USB Type C Power Supply and a USB to Micro USB Data Cable., Google USB Accelerator Featuring The Edge TPU, Exclusive: Google Coral Developer Kit Bundle, Includes Google Coral Dev Board

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SaharaMicro #ad - Compatible with raspberry pi boards, Supported Framework: TensorFlow Lite, Works with AutoML Vision Edge. Supported framework: tensorflow Lite, Languages: Python and C++, Works with AutoML Vision Edge.

Ships from USA. 100% customer satisfaction with 30 days Money back warranty. Also includes 1x usb type c power supply for the Google Dev Board and 1x Micro USB Data Cable. Google dev board - a single-board computer with a removable system-on-module soM featuring the Edge TPU. Usb accelerator - a usb accessory featuring the edge tpu that brings ml inferencing to existing systems. Supported os: Mendel Linux derivative of Debian. Supported host OS: Debian Linux.
BrandSaharaMicro #ad
ManufacturerMega1Comp #ad
Part NumberSM-GBA-01

8. A ANIDEES

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Anidees Aluminum 3 Layers Open Frame Universal case for Raspberry Pi 4 Model B Tinker/Google Coral Dev Board / BlackAI-OP-FR3

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A ANIDEES #ad - Unlimited flexibility: harmonious, support powerful tower CPU Cooling Fan, refined and striking design with easy access to all inputs and outputs, HiFiBerry DAC+Pro / NanoSound DAC2 on the top layer.

Compatible with raspberry pi4 b/ pi3 b/ pi3 b+, Tinker Board S, google coral Dev Board, support the screw hole dimension of the board : 58 x 49mm. Raspberry pi, dac board, cooler is NOT INCLUDED. Multitask case: the 3 layers open frame case can be installed 3 x Pi4 board together, provide you the Multitask mode. Panoramic open frame design: It comes with 6 mm aluminum plus shockproof copper feet stand to provide durability and flexibility.
BrandA ANIDEES #ad
Manufactureranidees #ad
Part NumberAI-OP-FR3

9. NVIDIA

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NVIDIA Jetson Nano Developer Kit 945-13450-0000-100

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NVIDIA #ad - And it is incredibly power-efficient, consuming as little as 5 watts. The same jetpack sdk is used across the entire nvidia jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.

The nvidia jetson nano developer kit delivers the compute performance to run modern AI workloads at unprecedented size, and cost. Jetson nano is also supported by nvidia jetpack, computer vision, cudnn, NVIDIA CUDA, multimedia processing, and tensorrt software libraries for deep learning, and much more. The developer kit can be powered by micro-usb and comes with extensive i/os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications.

The software is even available using an easy-to-flash SD card image, which includes a board support package BSP, GPU computing, Linux OS, making it fast and easy to get started. This proven software stack reduces complexity and overall effort for developers. Developers, segmentation, power, object detection, learners, and makers can now run AI frameworks and models for applications like image classification, and speech processing.
BrandNVIDIA #ad
ManufacturerNVIDIA Corporation #ad
Height1.77 Inches
Length2.72 Inches
Weight0.53 Pounds
Width1.77 Inches
Part Number945-13450-0000-100
Model945-13450-0000-100
Warranty1 year manufacturer