{"id":163614,"date":"2026-03-09T17:12:00","date_gmt":"2026-03-09T15:12:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q"},"modified":"2026-03-09T17:12:00","modified_gmt":"2026-03-09T15:12:01","slug":"proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","title":{"rendered":"Arduino projekt tutvustas \u00fchte tahvelarvutit VENTUNO Q","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Arduino projekt, mille eelmisel aastal ostis omanik Qualcomm, kuulutas v\u00e4lja \u00fches t\u00fckis arvuti VENTUNO Q, mis \u00fchendab endas mikrokontrolleri STM32H5F5 ja Qualcomm Dragonwing IQ8 mikroprotsessori, millel on sisseehitatud GPU ja AI-kiirendi. Plaadi peamine eesm\u00e4rk on luua iseseisvaid AI-seadmeid, mis suudavad lahendada arvutin\u00e4gemise \u00fclesandeid ja iseseisvalt teostada masin\u00f5ppe mudeleid. <\/p>\n

VENTUNO Q kasutusn\u00e4idete hulka kuuluvad robotite loomine, nutikioskid, liiklusvoogude anal\u00fcsaatorid, tervise j\u00e4lgimise assistendid ning kvaliteedikontrollis\u00fcsteemid ettev\u00f5tetes. Monitori, klaviatuuri ja hiire \u00fchendamisel saab seadet kasutada arendaja t\u00f6\u00f6jaamana, mis toetab Arduino App Lab'i k\u00e4ivitamist. Seade on \u00fchilduv olemasolevate laiendusplaatide ja lisadega, mis on juba v\u00e4lja antud Arduino UNO plaatide jaoks. VENTUNO Q m\u00fc\u00fcgile tuleku kuup\u00e4ev ja hind pole veel teada antud. <\/p>\n

Qualcomm Dragonwing IQ8 (IQ-8275) mikroprotsessor sisaldab 8-tuumalist Arm Cortex CPU-d, Arm Cortex A623 GPU-d (877 MHz), Qualcomm Spectra 692 pildit\u00f6\u00f6tlusprotsessorit (ISP) ja Hexagon Tensor AI AI-kiirendit (NPU) 40 triljoni operatsiooni sekundis. S\u00fcsteem on varustatud 16 GB RAM-i ja 64 GB eMMC m\u00e4luga. P\u00fcsiv\u00e4lim\u00e4lu laiendamiseks on saadaval M.2 liides NVME Gen.4 ketastele. Toetatakse Ubuntu ja Debian'i k\u00e4ivitamist. <\/p>\n

STM32H5F5 mikrokontroller sisaldab 250MHz Arm Cortex M33 tuuma, 4 MB Flash'i ja 1.5 MB RAM-i. Toetatakse RTOS Zephyri k\u00e4ivitamist, tagades t\u00e4iusliku \u00fchilduvuse Robot Operating System 2 (ROS 2) ja Arduino App Labi t\u00f6\u00f6riistadega. Perifeerseadmete, andurite ja sammmootorite \u00fchendamiseks on ette n\u00e4htud GPIO, PWM ja CAN-FD liidesed. <\/p>\n

Lisaks on plaat varustatud Wi-Fi 6 2.4\/5\/6 GHz, Bluetooth 5.3, 2.5Gbit Ethernet (RJ45), HDMI monitori \u00fchendamiseks, MIPI DSI puuteekraanide ja interaktiivsete paneelide \u00fchendamiseks, kolme MIPI CSI konnektoriga kaamerate jaoks, USB-C monitori ja kaamera \u00fchendamiseks, kahe USB 3.0 Type A ning kahe USB 3.0, samuti heliv\u00e4ljundiga. M\u00f5\u00f5tmed: 160 x 100 x 25.8 mm.

\"Arduino<\/center> <\/p>\n

Eeldatakse, et Qualcomm Dragonwing IQ8 mikropistik kasutatakse juhtimisoperatsioonis\u00fcsteemi k\u00e4ivitamiseks ja AI mudelite t\u00e4itmiseks, samas kui STM32H5F5 mikrokontroller vastutab mootorite juhtimise ja anduritelt saadud teabe reaalajas t\u00f6\u00f6tlemise eest. Linuxist mikrokontrolleriga suhtlemiseks on saadaval eelnevalt koostatud RPC (Remote Procedure Call) teek. <\/p>\n

NPU-le on saadaval eelnevalt koostatud teegid masin\u00f5ppemudelite kohaliku t\u00e4itmise jaoks, n\u00e4iteks Qwen loodusliku keele p\u00e4ringute kohalikuks t\u00f6\u00f6tlemiseks, Qwen VLM tekstituvastuseks, objektide m\u00e4\u00e4ramiseks piltidel ja stseenide kirjelduseks, Melo TTS ja Whisper k\u00f5netuvastuseks ja transkriptsiooni genereerimiseks, MediaPipe juhtimise \u017eestide tuvastamiseks ja k\u00e4te liikumise j\u00e4lgimiseks, YOLO-X inimeste, autode ja objektide j\u00e4lgimiseks kaamera ees ning PoseNet inimese keha asendi m\u00e4\u00e4ramiseks.

\r\n \"Vaata\r\n
<\/div>\r\n <\/div><\/center>
\n
Allikas: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041f\u0440\u043e\u0435\u043a\u0442 Arduino, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u043e\u0433\u043b\u043e\u0442\u0438\u043b\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Qualcomm, \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 VENTUNO Q, \u0441\u043e\u0432\u043c\u0435\u0449\u0430\u044e\u0449\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440 STM32H5F5 \u0438 \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Qualcomm Dragonwing IQ8 \u0441\u043e \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c\u0438 GPU \u0438 AI-\u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u043c. \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435\u043c \u043f\u043b\u0430\u0442\u044b \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u043d\u043e\u043c\u043d\u044b\u0445 AI-\u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u0445 \u0440\u0435\u0448\u0430\u0442\u044c \u0437\u0430\u0434\u0430\u0447\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u043e\u0431\u043e\u0441\u043e\u0431\u043b\u0435\u043d\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u0412 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f VENTUNO Q \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442\u0441\u044f […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":163615,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-163614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Arduino projekt esitles \u00fchtse plaadi arvutit VENTUNO Q | ProHoster","description":"Arduino projekt, mille eelmisel aastal haaras Qualcomm, tutvustas \u00fchtse plaadi arvutit VENTUNO Q, mis \u00fchendab \u00fches seadmes STM32H5F5 mikrokontrolleri ja Qualcomm Dragonwing IQ8 mikropetsi, millel on sisseehitatud GPU ja AI-kiirendi. Plaadi peamine eesm\u00e4rk on luua iseseisvaid AI-seadmeid, mis suudavad lahendada arvutin\u00e4gemise \u00fclesandeid ja isoleeritult teostada masin\u00f5ppe mudeleid. VENTUNO Q rakenduste n\u00e4idete hulka kuulub","canonical_url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u041f\u0440\u043e\u0435\u043a\u0442 Arduino \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 VENTUNO Q | ProHoster","og:description":"\u041f\u0440\u043e\u0435\u043a\u0442 Arduino, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u043f\u043e\u0433\u043b\u043e\u0442\u0438\u043b\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Qualcomm, \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u043e\u0434\u043d\u043e\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 VENTUNO Q, \u0441\u043e\u0432\u043c\u0435\u0449\u0430\u044e\u0449\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440 STM32H5F5 \u0438 \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Qualcomm Dragonwing IQ8 \u0441\u043e \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c\u0438 GPU \u0438 AI-\u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u043c. \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435\u043c \u043f\u043b\u0430\u0442\u044b \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u043d\u043e\u043c\u043d\u044b\u0445 AI-\u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u0445 \u0440\u0435\u0448\u0430\u0442\u044c \u0437\u0430\u0434\u0430\u0447\u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u043e\u0431\u043e\u0441\u043e\u0431\u043b\u0435\u043d\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u0412 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f VENTUNO Q \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442\u0441\u044f","og:url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/proekt-arduino-predstavil-odnoplatnyj-kompyuter-ventuno-q","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2026-03-09T15:12:01+00:00","article:modified_time":"2026-03-09T15:12:01+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":[],"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts\/163614","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/comments?post=163614"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/posts\/163614\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/media\/163615"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/media?parent=163614"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/categories?post=163614"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/et\/wp-json\/wp\/v2\/tags?post=163614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}