{"product_id":"hailo-8-m-2-ai-accelerator-module-based-on-the-26tops-hailo-8-ai-processor-supports-linux-windows-systems","title":"Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, Supports Linux\/Windows Systems","description":"\u003cp\u003e\u003cstrong\u003eKurzbeschreibung:\u003c\/strong\u003e Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, Supports Linux\/Windows Systems | Hailo-8\u003c\/p\u003e\u003cdiv class=\"overviewSec\"\u003eHailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, Supports Linux\/Windows Systems\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\u003cdiv class=\"pdT\" style=\"background: #dce6f0;\"\u003e\u003cdiv class=\"richTitle\"\u003eHailo-8 AI Accelerator Module\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-1.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module, front view\" \/\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-3.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module, features\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003eHailo-8 AI M.2 Module Parameters\u003c\/div\u003e\u003ctable class=\"tabSty-2 mgnTB alignl\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003eAI performance\u003c\/th\u003e\u003ctd\u003e26 TOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eForm Factor\u003c\/th\u003e\u003ctd\u003eM.2 Key M\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003ePower supply\u003c\/th\u003e\u003ctd\u003e3.3V ± 5%\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003ePower consumption\u003c\/th\u003e\u003ctd\u003e2.5W (Typ.)  8.65W (Max.)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eInterface\u003c\/th\u003e\u003ctd\u003ePCIe Gen3, 4-lane\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eCertificate\u003c\/th\u003e\u003ctd\u003eCE, FCC Class A\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eStorage temperature\u003c\/th\u003e\u003ctd\u003e-40 ~ 85°C\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eOperating temperature\u003c\/th\u003e\u003ctd\u003e-40 ~ 85°C\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eOperating humidity\u003c\/th\u003e\u003ctd\u003e5% ~ 90%RH (no frosting)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eDimensions\u003c\/th\u003e\u003ctd\u003e22x42 (mm)\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #f5f5f5;\"\u003e\u003cdiv class=\"richTitle pdTRBL\"\u003eEquipped with Hailo-8 AI Accelerator to Step Up Your Edge Product Performance\u003c\/div\u003e\u003cp class=\"pdTRBL2 alignl\"\u003e   The Hailo-8 M.2 module is an AI accelerator module for AI applications, based on the 26 tera-operations per second (TOPS) Hailo-8 AI processor with high power efficiency. The M.2 AI accelerator features a full PCIe Gen-3.0 4-lane interface, delivering unprecedented AI performance for edge devices.       The M.2 module can be plugged into an existing edge device with M.2 socket to provide low-power deep neural network inferencing. Leveraging Hailo's comprehensive Dataflow Compiler and its support for standard AI frameworks, customers can easily port their Neural Network models to the Hailo-8 and introduce high-performance AI products to the market quickly.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-5.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module, equipped with Hailo-8 AI Accelerator\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003eHailo-8 performance parameters\u003c\/div\u003e\u003ctable class=\"tabSty-2 mgnTB alignc\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003eNN Model\u003c\/th\u003e\u003cth\u003emAP\u003c\/th\u003e\u003cth\u003eHailo-8L FPS(batch8)\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov4_tiny\u003c\/td\u003e\u003ctd\u003e18.98\u003c\/td\u003e\u003ctd\u003e610\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov6n\u003c\/td\u003e\u003ctd\u003e34.3\u003c\/td\u003e\u003ctd\u003e345\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov7\u003c\/td\u003e\u003ctd\u003e49.8\u003c\/td\u003e\u003ctd\u003e45\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolox_s_wide\u003c\/td\u003e\u003ctd\u003e42.4\u003c\/td\u003e\u003ctd\u003e75\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov3\u003c\/td\u003e\u003ctd\u003e38\u003c\/td\u003e\u003ctd\u003e26\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov8n\u003c\/td\u003e\u003ctd\u003e37.23\u003c\/td\u003e\u003ctd\u003e270\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov8s\u003c\/td\u003e\u003ctd\u003e44.75\u003c\/td\u003e\u003ctd\u003e128\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eyolov8m\u003c\/td\u003e\u003ctd\u003e50.08\u003c\/td\u003e\u003ctd\u003e55\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ctable class=\"tabSty-2 mgnTB alignc\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth style=\"width: 20%;\"\u003eType\u003c\/th\u003e\u003cth\u003eNN Model\u003c\/th\u003e\u003cth\u003eInput Resolution\u003c\/th\u003e\u003cth\u003eFPS\u003c\/th\u003e\u003cth\u003ePower(W)\u003c\/th\u003e\u003cth\u003eFPS\/W\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth rowspan=\"3\"\u003eClassification\u003c\/th\u003e\u003ctd\u003eResNet-50 v1\u003c\/td\u003e\u003ctd\u003e224x224\u003c\/td\u003e\u003ctd\u003e1332\u003c\/td\u003e\u003ctd\u003e3.45\u003c\/td\u003e\u003ctd\u003e386\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eMobileNet_v2_1.0\u003c\/td\u003e\u003ctd\u003e224x224\u003c\/td\u003e\u003ctd\u003e2444\u003c\/td\u003e\u003ctd\u003e2.152\u003c\/td\u003e\u003ctd\u003e1135\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eEfficientNet_M\u003c\/td\u003e\u003ctd\u003e240x240\u003c\/td\u003e\u003ctd\u003e889\u003c\/td\u003e\u003ctd\u003e3.5\u003c\/td\u003e\u003ctd\u003e254\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth rowspan=\"2\"\u003eObject Detection\u003c\/th\u003e\u003ctd\u003eSSD_MobileNet_v1\u003c\/td\u003e\u003ctd\u003e300x300\u003c\/td\u003e\u003ctd\u003e1055\u003c\/td\u003e\u003ctd\u003e2.2\u003c\/td\u003e\u003ctd\u003e479\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eYOLOv5m\u003c\/td\u003e\u003ctd\u003e640x640\u003c\/td\u003e\u003ctd\u003e218\u003c\/td\u003e\u003ctd\u003e4.6\u003c\/td\u003e\u003ctd\u003e47.3\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eSegmentation\u003c\/th\u003e\u003ctd\u003estdc1\u003c\/td\u003e\u003ctd\u003e1024x1920\u003c\/td\u003e\u003ctd\u003e54\u003c\/td\u003e\u003ctd\u003e2.9\u003c\/td\u003e\u003ctd\u003e18.6\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eMulti stream object detection (8 streams)\u003c\/th\u003e\u003ctd\u003eYOLOv3\u003c\/td\u003e\u003ctd\u003e608x608\u003c\/td\u003e\u003ctd\u003e69\u003c\/td\u003e\u003ctd\u003e4.9\u003c\/td\u003e\u003ctd\u003e14\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003c!--   \u003cdiv class=\"pdT\" style=\"background: #f0f7ff;\"\u003e\u003cdiv class=\"richTitle\"\u003eConnecting to PI5 via 16PIN Cable\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eBased on 16PIN PCIe Interface of Raspberry Pi 5\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-7.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, connecting to PI5 via 16PIN cable\" \/\u003e\u003cdiv\u003e\u003c\/div\u003e\u003c\/div\u003e --\u003e\u003c!-- \u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003etailored for Raspberry Pi 5\u003c\/div\u003e\u003cp class=\"richDesc pdTRBL\"\u003eStandard Raspberry Pi 40PIN Header, Comes with 2*20 Pin header for Stacking with Other HATs. Compact Size, More Space-Saving, supports installing cooling fan\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-9.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, tailored for Raspberry Pi 5\" \/\u003e\u003c\/div\u003e --\u003e\u003c!--   \u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003eReserved airflow vent for Cooling Fan\u003c\/div\u003e\u003cp class=\"richDesc pdTRBL\"\u003ecan be used together with the \u003ca href=\"https:\/\/www.waveshare.com\/pi5-active-cooler-b.htm\" target=\"_blank\"\u003ePi5 Active Cooler B\u003c\/a\u003e to achieve better heat dissipation effect For the Pi5 And AI Accelerator Module, keeping it cool even under heavy processing and maximizing the Module Performance\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-13.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, reserved airflow vent for Cooling Fan\" \/\u003e\u003c\/div\u003e--\u003e\u003c!--   \u003cdiv class=\"pdT\" style=\"background: #f0f7ff;\"\u003e\u003cdiv class=\"richTitle\"\u003eOnboard Power Monitoring Chip And EEPROM\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eReal-time monitoring of device power status for More Stable operation\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-11.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, onboard power monitoring chip and EEPROM\" \/\u003e\u003cdiv\u003e\u003c\/div\u003e\u003c\/div\u003e--\u003e\u003c!--   \u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003eHow to Install\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-15.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, how to Install\" \/\u003e\u003cp class=\"note\"\u003e* for reference only, the cooling fan is NOT included.\u003c\/p\u003e\u003c\/div\u003e --\u003e\u003cdiv class=\"pdT\" style=\"background: #e9e9e9;\"\u003e\u003cdiv class=\"richTitle\"\u003eApplied in the AI Field\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-17.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module, applied in the AI field\" \/\u003e\u003cdiv\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\"\u003e\u003cdiv class=\"richTitle\"\u003eOutline Dimensions\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-size.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module and PCIe TO M.2 HAT+ dimensions\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" \/\u003e\u003cdiv class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/Hailo-8\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/Hailo-8\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003cp\u003eHailo-8 AI M.2 Module x1\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/Hailo-8\/Hailo-8-details-pack.jpg\" alt=\"Hailo-8 M.2 AI Accelerator Module\" \/\u003e\u003cdiv class=\"sep0px\"\u003e\u003c\/div\u003e","brand":"HAILO","offers":[{"title":"Default Title","offer_id":53568484475217,"sku":"WSAL27812","price":81269.54,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal278121-459243.jpg?v=1776679258","url":"https:\/\/albistech.eu\/de\/products\/hailo-8-m-2-ai-accelerator-module-based-on-the-26tops-hailo-8-ai-processor-supports-linux-windows-systems","provider":"Albistech","version":"1.0","type":"link"}