coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems Featuring the Edge TPU, a small ASIc designed and built by google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 30 interface For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator Edge TPU key benefits: High speed TensorFlow Lite inferencing Low power Small footprint Features google Edge TPU ML accelerator coprocessor USB 30 Type-c socket Supports Debian Linux on host cPU Models are built using TensorFlow Fully supports MobileNet and Inception architectures though 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 31 (gen 1) port and cable (SuperSpeed, 5gbs transfer speed) Included cable is USB Type-c to Type-A coral, a division of google, helps build intelligent ideas with a platform for local AI
⚠️ WARNING (California Proposition 65): This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, please visit www.P65Warnings.ca.gov.
