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![Coral Accelerator Module - chip with Edge TPU (SMT) Coral Accelerator Module - chip with Edge TPU (SMT)](https://kamami.pl/41870-large_default/coral-accelerator-module-chip-with-edge-tpu-smt.jpg)
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Surface mount module with Edge TPU coprocessor. Supports TensorFlow Lite models. Coral Accelerator Module
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Coral Accelerator Module is a surface mount module with an Edge TPU coprocessor. It is a small ASIC designed by Google that provides high performance ML (Machine Learning) inference with low power requirement. The embedded coprocessor is capable of 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). It can realize the most modern mobile vision models such as MobileNet v2, at almost 400 fps, with low power consumption. The system supports TensorFlow Lite models, so that the user does not have to build ML models from scratch, and AutoML Vision Edge, which allows you to create accurate classification models of non-standard images.
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. Coral USB Accelerator
M.2 module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral M.2 Accelerator A+E key
Single-board computer with SoC MediaTek 8167s chip, designed for use in machine learning. Supports TensorFlow Lite models. Coral Dev Board Mini
ML accelerator module that allows the use of the Edge TPU coprocessor in existing systems. It will be used in projects using machine learning and artificial intelligence. Coral M.2 Accelerator with Dual Edge TPU
Single board computer with SOM module NXP i.MX 8M processor, has 4 GB of RAM, 8GB of eMMC memory, wireless communication and TPU coprocessor. It includes numerous connectors, including USB 2.0 / 3.0 ports, DSI interface, CSI-2, Ethernet port, audio connectors and a 40-pin GPIO connector. Google Coral Dev Board 4GB
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The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP\'s iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google\'s Edge TPU coprocessor.
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M.2 module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral M.2 Accelerator B+M key
Add-on board (also known as a pHAT or bonnet) that adds sensing capabilities to your Coral Dev Board or Raspberry Pi projects. The board provides atmospheric data such as light level, barometric pressure, temperature, and humidity. Coral Environmental Sensor Board
Single board computer with SOM module NXP i.MX 8M processor, has 4 GB of RAM, 8GB of eMMC memory, wireless communication and TPU coprocessor. It includes numerous connectors, including USB 2.0 / 3.0 ports, DSI interface, CSI-2, Ethernet port, audio connectors and a 40-pin GPIO connector. Google Coral Dev Board 4GB
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M.2 module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral M.2 Accelerator A+E key
PCIe module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral Mini PCIe Accelerator
Single board computer with SOM module NXP i.MX 8M processor, has 1 GB of RAM, 8GB of eMMC memory, wireless communication and TPU coprocessor. It includes numerous connectors, including USB 2.0 / 3.0 ports, DSI interface, CSI-2, Ethernet port, audio connectors and a 40-pin GPIO connector. Coral Dev Board
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WiFi module dedicated to Coral Dev Board Micro. It uses the Murata LBEE5HY1MW chip and connects to the base board via B2B connectors. Coral G650-07974-01
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. Coral USB Accelerator
Ethernet module dedicated to Coral Dev Board Micro. It supports power over Ethernet (PoE) technology and connects to the base board via B2B connectors. Coral G650-07975-01
ML accelerator module that allows the use of the Edge TPU coprocessor in existing systems. It will be used in projects using machine learning and artificial intelligence. Coral M.2 Accelerator with Dual Edge TPU
Single-board computer with SoC MediaTek 8167s chip, designed for use in machine learning. Supports TensorFlow Lite models. Coral Dev Board Mini
Development board with i.MX RT1176 dual-core microcontroller, Coral Edge TPU, camera and microphone. Designed for artificial intelligence applications using machine learning for image and speech processing. Coral G650-07968-01
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A kit containing two dedicated enclosures for Coral Dev Board Micro. Made of plastic, it provides protection from mechanical damage for Coral Dev Board Micro kits with Wireless Add-on and PoE Add-On. Coral G730-06370-01
Surface mount module with Edge TPU coprocessor. Supports TensorFlow Lite models. Coral Accelerator Module