{"product_id":"google-coral-dev-board-mini","title":"Google Coral Dev Board Mini","description":"\u003cp\u003e\u003cstrong\u003eA development board to quickly prototype on-device ML products.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eThe Google Coral Dev Board Mini is a single-board computer that provides fast machine learning (ML) inferencing in a small form factor. It's primarily designed as an evaluation device for the\u003cspan\u003e \u003c\/span\u003eAccelerator Module\u003cspan\u003e \u003c\/span\u003e(a surface-mounted module that provides the Edge TPU), but it's also a fully-functional embedded system you can use for various on-device ML projects.\u003c\/p\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eA camera module designed specifically for the Google Coral range is available here.\u003c\/p\u003e\n\u003ch3 id=\"performs-high-speed-ml-inferencing\" class=\"small-headline mk-heading\"\u003ePerforms high-speed ML inferencing\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eThe on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner.\u003cspan\u003e \u003c\/span\u003eSee more performance benchmarks.\u003c\/p\u003e\n\u003ch3 id=\"provides-a-complete-system\" class=\"small-headline mk-heading\"\u003eProvides a complete system\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eA single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.\u003c\/p\u003e\n\u003ch3 id=\"supports-tensorflow-lite\" class=\"small-headline mk-heading\"\u003eSupports TensorFlow Lite\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eNo need to build models from the ground up.\u003cspan\u003e \u003c\/span\u003eTensorFlow Lite\u003cspan\u003e \u003c\/span\u003emodels can be compiled to run on the Edge TPU.\u003c\/p\u003e\n\u003ch3 id=\"supports-automl-vision-edge\" class=\"small-headline mk-heading\"\u003eSupports AutoML Vision Edge\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cp class=\"body-copy mk-paragraph\"\u003eEasily build and deploy fast, high-accuracy custom image classification models to your device with\u003cspan\u003e \u003c\/span\u003eAutoML Vision Edge.\u003c\/p\u003e\n\u003ch2 class=\"body-copy mk-paragraph\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"table-group-table\" style=\"width: 534px;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003eMediaTek 8167s SoC (Quad-core Arm Cortex-A35)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003eIMG PowerVR GE8300 (integrated in SoC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eML accelerator\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003eGoogle Edge TPU coprocessor:\u003cbr\u003e4 TOPS (int8); 2 TOPS per watt\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eRAM\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003e2 GB LPDDR3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eFlash memory\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003e8 GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eWireless\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003eWi-Fi 5 (802.11a\/b\/g\/n\/ac); Bluetooth 5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eAudio\/video\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003e3.5mm audio jack; digital PDM microphone; 2.54mm 2-pin speaker terminal; micro HDMI (1.4); 24-pin FFC connector for MIPI-CSI2 camera (4-lane); 24-pin FFC connector for MIPI-DSI display (4-lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bold col-mobile-6 col-tablet-8 col-small-desktop-7 col-desktop-8\" style=\"width: 186.953px;\"\u003eInput\/output\u003c\/td\u003e\n\u003ctd style=\"width: 330.047px;\"\u003e40-pin GPIO header; 2x USB Type-C (USB 2.0)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 class=\"body-copy mk-paragraph\"\u003eResources\u003c\/h2\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"col-mobile-14 col-mobile-offset-1 col-tablet-30 col-small-desktop-28 col-desktop-28 col-tablet-offset-1 col-small-desktop-offset-2 col-desktop-offset-2 text-align-left module-text-group-copy\"\u003e\n\u003cdiv class=\"markdown-container\"\u003e\n\u003ch3 id=\"datasheet\" class=\"small-headline mk-heading\"\u003eDatasheet\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eDev Board Mini datasheet\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"schematics\" class=\"small-headline mk-heading\"\u003eSchematics\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eDev Board Mini schematics and layout\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"application-notes\" class=\"small-headline mk-heading\"\u003eApplication notes\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eGet started with the Dev Board Mini\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eConnect to the Dev Board Mini I\/O pins\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eConnect a camera to the Dev Board Mini\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eConnect to the Dev Board Mini's serial console\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eUpdate or flash the Dev Board Mini\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"module-text-group-modules\"\u003e\n\u003csection data-module-type=\"text\" class=\"module show\"\u003e\n\u003cdiv class=\"grid-container\"\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"col-mobile-14 col-mobile-offset-1 col-tablet-30 col-small-desktop-28 col-desktop-28 col-tablet-offset-1 col-small-desktop-offset-2 col-desktop-offset-2 text-align-left module-text-copy\"\u003e\n\u003cdiv class=\"markdown-container\"\u003e\n\u003ch3 id=\"software-guides\" class=\"small-headline mk-heading\"\u003eSoftware guides\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eModel compatibility on the Edge TPU\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eEdge TPU inferencing overview\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eRun multiple models with multiple Edge TPUs\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003ePipeline a model with multiple Edge TPUs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"api-references\" class=\"small-headline mk-heading\"\u003eAPI references\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003ePyCoral API (Python)\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eLibcoral API (C++)\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eLibedgetpu API (C++)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 id=\"downloads\" class=\"small-headline mk-heading\"\u003eDownloads\u003ci class=\"material-icons icon-link\"\u003e\u003c\/i\u003e\n\u003c\/h3\u003e\n\u003cul class=\"mk-list\"\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eEdge TPU compiler\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003ePre-compiled models\u003c\/li\u003e\n\u003cli class=\"mk-list-item body-copy\"\u003eAll software downloads\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Google","offers":[{"title":"Default Title","offer_id":53697550418196,"sku":"rqn1787258208894","price":75.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0946\/9486\/7220\/files\/google-coral-dev-board-mini_1.jpg?v=1787258213","url":"https:\/\/regalwearstore.shop\/products\/google-coral-dev-board-mini","provider":"My Store","version":"1.0","type":"link"}