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

Coral USB Accelerator brings powerful ML (machine learning) inferencingcapabilities to existing Linux systems. Featuring the Edge TPU, a small ASICdesigned and built by Google, the USB Accelerator provides high performance MLinferencing with a low power cost over a USB 3.0 interface. For example, itcan execute state-of-the-art mobile vision models, such as MobileNet v2 at100+ fps, in a power-efficient manner. This allows fast ML inferencing toembedded AI devices in a power-efficient and privacy-preserving way. Modelsare developed in TensorFlow Lite and then compiled to run on the USBAccelerator. Edge TPU key benefits: High speed TensorFlow Lite inferencing Lowpower Small footprint Features Google Edge TPU ML accelerator coprocessor USB3.0 Type-C socket Supports Debian Linux on host CPU Models are built usingTensorFlow. Fully supports MobileNet and Inception architectures though customarchitectures are possible Compatible with Google Cloud Specifications Arm32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memorywith ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed,5Gb/s transfer speed) Included cable is USB Type-C to Type-A Coral, a divisionof Google, helps build intelligent ideas with a platform for local AI.

Features:

• 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 acceleration coprocessor, USB 3.0 Type-C female, supports Debian Linux to host CPU, models are built with TensorFlow Supports MobileNet and Inception architectures through custom architectures are possible. 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, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.
• Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Full supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

Product Details:

• Brand: ‎Google Coral
• Item model number: System: ‎Linux
• Item Weight: ‎2.82 ounces
• Product Dimensions: ‎3 x 2 x 1 inches
• Item Dimensions LxWxH: ‎3 x 2 x 1 inches
• Processor Brand: ‎ARM
• Number of Processors: ‎1
• Manufacturer: ‎Google Coral
• Date First Available: ‎April 25, 2019

• Shipping
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