{"product_id":"google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-and-other-embedded-single-board-computers","title":"Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers","description":"\u003cp\u003eIntroducing the Coral USB Accelerator, a powerhouse for ML (machine learning) inferencing on existing Linux systems. Equipped with Google's Edge TPU, this small ASIC delivers high-performance ML inferencing at a minimal power cost through a USB 3.0 interface. With capabilities like executing MobileNet v2 at over 100 fps, it enables rapid ML inferencing on embedded AI devices while conserving power and preserving privacy.\u003c\/p\u003e\n\u003cp\u003eModels are developed in TensorFlow Lite and compiled to run seamlessly on the USB Accelerator. Key benefits include high-speed inferencing, low power consumption, and a compact footprint. The Edge TPU supports TensorFlow Lite and is compatible with Google Cloud.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1217\/2104\/files\/1_13_4fd4161e-0a52-4ced-a1c7-5319100c5082.jpg?v=1739264627\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGoogle Edge TPU ML accelerator coprocessor\u003c\/li\u003e\n\u003cli\u003eUSB 3.0 Type-C socket\u003c\/li\u003e\n\u003cli\u003eSupports Debian Linux on host CPU\u003c\/li\u003e\n\u003cli\u003eArm 32-bit Cortex-M0+ Microprocessor with up to 32 MHz max, 16 KB Flash memory with ECC, and 2 KB RAM\u003c\/li\u003e\n\u003cli\u003eConnections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb\/s transfer speed)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIncluded cable\u003c\/strong\u003e: USB Type-C to Type-A. Coral, a division of Google, empowers innovative AI ideas with its local AI platform.\u003c\/p\u003e\n\u003ctable style=\"height: 248px; width: 566px;\" class=\"a-bordered a-horizontal-stripes aplus-tech-spec-table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px; text-align: left;\" class=\"a-text-bold\"\u003eaccelerator\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003e4 TOPS (int8); 2 TOPS per watt\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eConnector\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003eUSB 3.0 Type-C* (data\/power)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003e65 mm x 30 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eHost system support\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003eLinux, Mac and Windows\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003ePeak power consumption\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003eup to 900 mA @ 5 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003eUSB 3.0 (USB 3.1 Gen 1) Type C receptacle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eStandard USB disk size\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003e65 mm x 30 mm x 8 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 212.75px;\" class=\"a-text-bold\"\u003eOperating frequency\u003c\/td\u003e\n\u003ctd style=\"width: 339.65px;\"\u003e25°C - Reduced; 25°C - maximum\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1217\/2104\/files\/51o1kWSC2VL._AC_SL1200.jpg?v=1715864678\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1217\/2104\/files\/519RoZ2Bi5L._AC_SX679.jpg?v=1715864696\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1217\/2104\/files\/41Pj5MCr3gL._AC_SX679.jpg?v=1715864714\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1217\/2104\/files\/417CdknwCbL._AC_SX466.jpg?v=1715864889\" alt=\"\"\u003e\u003c\/p\u003e","brand":"SB Components","offers":[{"title":"Default Title","offer_id":41284087185472,"sku":"GoogleCoral","price":113.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/6342\/4320\/files\/61J05USFjaL._AC_SX679.jpg?v=1782395993","url":"https:\/\/wearvico.com\/products\/google-coral-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-and-other-embedded-single-board-computers","provider":"wearvico","version":"1.0","type":"link"}