Google Coral products are all available at Gravitylink Store
Good news! Google Coral products are all available at Gravitylink Store! Coral Dev Board, Coral USB Acceletator and Coral Camera could deliver to world wide! Google AIY Kits are on hot sale too!
Coral Dev Board
A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SOM).
TensorFlow Lite models can be compiled to run on the Coral Dev Board. You can use the Dev Board to prototype internet-of-things (IOT) devices and other embedded systems that demand fast on-device ML inferencing.
Edge TPU Key Benefits:
·High Speed TensorFlow Lite Inferencing
·Low Power
·Small Footprint
Scale From Prototype to Production
Considers your manufacturing needs. The SOM can be removed from the baseboard, ordered in bulk, and integrated into your hardware.
Includes a Full System
SOC + ML + Connectivity all on the board running a derivative of Debian Linux we call Mendel, so you can run your favourite Linux tools with this board.
Supports AutoML Vision Edge
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Google Coral USB Accelerator
The Coral USB Accelerator is a USB device that adds an Edge TPU coprocessor to your system. It includes a USB socket so you can connect it to any Linux-based system to perform accelerated ML inferencing.
Local Inferencing
Run on-device ML inferencing on the Edge TPU designed by Google.
Works with Debian Linux
Connect to any Linux-based system with an included USB Type-C cable.
Supports TensorFlow Lite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on USB Accelerator.
Features：
· Google Edge TPU ML accelerator coprocessor
· USB 3.0 Type-C socket
· Supports Debian Linux on host CPU
learn more at: https://store.gravitylink.com/global
Coral Dev Board
A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SOM).
TensorFlow Lite models can be compiled to run on the Coral Dev Board. You can use the Dev Board to prototype internet-of-things (IOT) devices and other embedded systems that demand fast on-device ML inferencing.
Edge TPU Key Benefits:
·High Speed TensorFlow Lite Inferencing
·Low Power
·Small Footprint
Scale From Prototype to Production
Considers your manufacturing needs. The SOM can be removed from the baseboard, ordered in bulk, and integrated into your hardware.
Includes a Full System
SOC + ML + Connectivity all on the board running a derivative of Debian Linux we call Mendel, so you can run your favourite Linux tools with this board.
Supports AutoML Vision Edge
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Google Coral USB Accelerator
The Coral USB Accelerator is a USB device that adds an Edge TPU coprocessor to your system. It includes a USB socket so you can connect it to any Linux-based system to perform accelerated ML inferencing.
Local Inferencing
Run on-device ML inferencing on the Edge TPU designed by Google.
Works with Debian Linux
Connect to any Linux-based system with an included USB Type-C cable.
Supports TensorFlow Lite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on USB Accelerator.
Features：
· Google Edge TPU ML accelerator coprocessor
· USB 3.0 Type-C socket
· Supports Debian Linux on host CPU
learn more at: https://store.gravitylink.com/global