{"id":68521,"date":"2023-08-23T06:00:59","date_gmt":"2023-08-23T04:00:59","guid":{"rendered":"https:\/\/botland.com.pl\/blog\/nvidia-jetson-recenzja-i-mozliwosci\/"},"modified":"2026-04-08T11:08:08","modified_gmt":"2026-04-08T09:08:08","slug":"nvidia-jetson-recenze-a-moznosti","status":"publish","type":"post","link":"https:\/\/botland.cz\/blog\/nvidia-jetson-recenze-a-moznosti\/","title":{"rendered":"Nvidia Jetson – recenze a mo\u017enosti"},"content":{"rendered":"\u010cas \u010dten\u00ed:<\/span> 6<\/span> min.<\/span><\/span>\t\t
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V posledn\u00edch letech m\u016f\u017eeme pozorovat postupnou komercializaci technologi\u00ed AI<\/strong>. Um\u011bl\u00e1 inteligence<\/strong> ji\u017e nen\u00ed dom\u00e9nou jen velmi sofistikovan\u00fdch laborato\u0159\u00ed velk\u00fdch technologick\u00fdch spole\u010dnost\u00ed a je implementov\u00e1na do st\u00e1le v\u011bt\u0161\u00edho po\u010dtu za\u0159\u00edzen\u00ed a aplikac\u00ed. Zpracov\u00e1n\u00ed dat v re\u00e1ln\u00e9m \u010dase, rozpozn\u00e1v\u00e1n\u00ed vzor\u016f, autonomn\u00ed roboti a vozidla – to jsou jen n\u011bkter\u00e9 z nes\u010detn\u00fdch oblast\u00ed, kter\u00e9 d\u00edky pokroku v oblasti um\u011bl\u00e9 inteligence z\u00edsk\u00e1vaj\u00ed na popularit\u011b. S r\u016fstem trhu s um\u011blou inteligenc\u00ed se zintenziv\u0148uje i sv\u011bt desek a v\u00fdvoj\u00e1\u0159sk\u00fdch sad optimalizovan\u00fdch pro software a u\u010d\u00edc\u00ed se algoritmy. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Technologie AI na dlani: Seznamte se s Nvidia Jetson Nano<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Jedn\u00edm z kl\u00ed\u010dov\u00fdch hr\u00e1\u010d\u016f ve sv\u011bt\u011b um\u011bl\u00e9 inteligence je spole\u010dnost Nvidia<\/strong><\/a>, kterou n\u011bkte\u0159\u00ed pova\u017euj\u00ed za jednoho z hlavn\u00edch l\u00eddr\u016f v tomto odv\u011btv\u00ed, a nen\u00ed divu, proto\u017ee grafick\u00e9 procesory (GPU) tohoto americk\u00e9ho v\u00fdrobce sehr\u00e1ly v\u00fdznamnou roli ve v\u00fdvoji um\u011bl\u00e9 inteligence. Na tomto typu \u010dipu lze \u00fasp\u011b\u0161n\u011b provozovat algoritmy strojov\u00e9ho u\u010den\u00ed a paraleln\u00edho zpracov\u00e1n\u00ed. <\/p>\n

Krom\u011b profesion\u00e1ln\u00edch n\u00e1vrh\u016f pou\u017e\u00edvan\u00fdch v pr\u016fmyslu v\u00fdzkumn\u00fdch a v\u00fdvojov\u00fdch centrech vyvinuli ekologi\u010dt\u00ed in\u017een\u00fd\u0159i tak\u00e9 \u0159adu za\u0159\u00edzen\u00ed Nvidia Jetson<\/strong><\/a>, kter\u00e9 m\u016f\u017eeme ozna\u010dit za spojnici mezi profesion\u00e1ln\u00edm vyu\u017eit\u00edm um\u011bl\u00e9 inteligence a sv\u011btem hobbyist\u016f a nad\u0161enc\u016f do nov\u00fdch technologi\u00ed. V tomto materi\u00e1lu se bl\u00ed\u017ee pod\u00edv\u00e1me na z\u00e1kladn\u00ed desku – Nvidia Jetson Nano<\/strong><\/a>. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Co je Nvidia Jetson Nano?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Nvidia Jetson Nano<\/strong> je kompaktn\u00ed mikropo\u010d\u00edta\u010d<\/strong>, kter\u00fd je sou\u010d\u00e1st\u00ed v\u011bt\u0161\u00ed rodiny modul\u016f Jetson<\/strong>. V\u00fdvoj\u00e1\u0159sk\u00e1 sada poskytovan\u00e1 spole\u010dnost\u00ed Nvidia se ve skute\u010dnosti skl\u00e1d\u00e1 ze dvou sou\u010d\u00e1st\u00ed – modulu Jetson Nano a z\u00e1kladn\u00ed desky<\/strong>. Mikropo\u010d\u00edta\u010d od spole\u010dnosti Nvidi byl vyvinut s ohledem na um\u011blou inteligenci<\/strong>. Na rozd\u00edl od b\u011b\u017en\u00fdch osobn\u00edch po\u010d\u00edta\u010d\u016f nebo jin\u00fdch komer\u010dn\u011b dostupn\u00fdch mikropo\u010d\u00edta\u010d\u016f je modul Jetson Nano optimalizov\u00e1n pro v\u00fdpo\u010detn\u00ed v\u00fdkon algoritm\u016f um\u011bl\u00e9 inteligence.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Nvidia Jetson Nano (vlevo) spolu se z\u00e1kladn\u00ed deskou.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Navzdory sv\u00e9mu \u00fa\u010delu m\u00e1 tato konstrukce n\u00edzkou spot\u0159ebu energie, co\u017e umo\u017e\u0148uje p\u0159en\u00e1\u0161et pokro\u010dil\u00e9 algoritmy um\u011bl\u00e9 inteligence do mobiln\u00edch za\u0159\u00edzen\u00ed nap\u00e1jen\u00fdch z akumul\u00e1toru.<\/p>\n

Mikropo\u010d\u00edta\u010d Nvidia Jetson Nano je zalo\u017een na procesoru ze segmentu SoC (System on Chip<\/strong>) p\u0159izp\u016fsoben\u00e9m pro \u0159e\u0161en\u00ed um\u011bl\u00e9 inteligence. \u010cip se skl\u00e1d\u00e1 ze \u010dty\u0159 jader ARM Cortex A57<\/strong> taktovan\u00fdch na 1,43 GHz<\/strong> a 128 grafick\u00fdch jader CUDA<\/strong>. Krom\u011b toho je modul vybaven 4 GB pam\u011bti RAM<\/strong> a slotem pro kartu microSD,<\/strong> na n\u00ed\u017e je ulo\u017een opera\u010dn\u00ed syst\u00e9m spu\u0161t\u011bn\u00fd syst\u00e9mem Jetson Nano. Mikropo\u010d\u00edta\u010d od spole\u010dnosti Nvidi je nainstalov\u00e1n do slotu SODIMM v o n\u011bco v\u011bt\u0161\u00ed z\u00e1kladnov\u00e9 stanici.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Popis v\u00fdvod\u016f Jetson Nano (pojedn\u00e1v\u00e1 se verze B02). (\u0179r\u00f3d\u0142o: https:\/\/botland.cz\/moduly-nvidia\/16536-nvidia-jetson-nano-b01-arm-cortex-a57-4x-143-ghz-nvidia-maxwell-4-gb-ram-5903351241519.html)<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Teprve kdy\u017e je modul Nvidia Jetson Nano<\/strong> nainstalov\u00e1n v o n\u011bco v\u011bt\u0161\u00ed z\u00e1kladn\u00ed stanici, m\u016f\u017eeme pou\u017e\u00edt celou v\u00fdvojovou sadu. D\u00edky pom\u011brn\u011b velk\u00e9mu po\u010dtu konektor\u016f lze mikropo\u010d\u00edta\u010d snadno p\u0159ipojit k dal\u0161\u00edm periferi\u00edm. <\/p>\n

Ve st\u0159edn\u00ed \u010d\u00e1sti z\u00e1kladn\u00edho modulu se nach\u00e1z\u00ed ji\u017e zm\u00edn\u011bn\u00e1 standardn\u00ed patice SODIMM<\/strong>, do kter\u00e9 je um\u00edst\u011bn mikropo\u010d\u00edta\u010d Jetson Nano. O n\u011bco v\u00fd\u0161e se nach\u00e1zel obvykle neviditeln\u00fd Konektor M.2 Key E,<\/strong>do kter\u00e9ho lze vlo\u017eit nap\u0159\u00edklad extern\u00ed s\u00ed\u0165ovou kartu WIFI<\/strong>. Z\u00e1kladn\u00ed deska je nav\u00edc vybavena n\u011bkolika sadami goldpinov\u00fdch konektor\u016f<\/strong>. <\/p>\n

Na horn\u00edm okraji je syst\u00e9mov\u00fd konektor<\/strong> umo\u017e\u0148uj\u00edc\u00ed ovl\u00e1d\u00e1n\u00ed mikropo\u010d\u00edta\u010de a mal\u00fd 4pinov\u00fd konektor POE<\/strong>. Krom\u011b toho je na desce 40pinov\u00fd univerz\u00e1ln\u00ed I\/O konektor<\/strong>, podobn\u00fd t\u011bm, kter\u00e9 zn\u00e1me z desek mikropo\u010d\u00edta\u010d\u016f Raspberry Pi.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Na spodn\u00edm okraji z\u00e1kladn\u00ed stanice jsou dv\u011b patice HDMI<\/span> pro p\u0159ipojen\u00ed extern\u00edch displej\u016f, \u010dty\u0159i porty USB typu A<\/span> 3.0, ke kter\u00fdm lze p\u0159ipojit klasick\u00e9 periferie, jako je my\u0161 a kl\u00e1vesnice, konektor Ethernet<\/span> pro p\u0159ipojen\u00ed Jetsonu Nano k s\u00edti.. <\/p>\n

Stoj\u00edza to v\u011bd\u011bt, \u017ee z\u00e1kladn\u00ed deska m\u00e1 dva nap\u00e1jec\u00ed konektory – microUSB (5V\/2A) a DC (5V\/4A).<\/strong> Volba jednoho z nich je pom\u011brn\u011b d\u016fle\u017eit\u00e1, proto\u017ee na zp\u016fsobu nap\u00e1jen\u00ed z\u00e1vis\u00ed v\u00fdkon mikropo\u010d\u00edta\u010de a stabilita jeho provozu. Ot\u00e1zkou nap\u00e1jen\u00ed po\u010d\u00edta\u010de Nvidia Jetson Nano se budeme zab\u00fdvat pozd\u011bji v tomto materi\u00e1lu. Um\u011bl\u00e1 inteligence se pom\u011brn\u011b \u010dasto pou\u017e\u00edv\u00e1 k anal\u00fdze obrazu, a proto v\u00fdvoj\u00e1\u0159i Jetson Nano vybavili z\u00e1kladn\u00ed modul dv\u011bma konektory pro CSI kamery<\/strong>. Krom\u011b toho je na desce tak\u00e9 mal\u00fd \u010dty\u0159pinov\u00fd konektor<\/strong>, ke kter\u00e9mu lze p\u0159ipojit ventil\u00e1tor<\/strong>, aby se zlep\u0161il odvod tepla p\u0159es chladi\u010d um\u00edst\u011bn\u00fd na procesoru.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Nap\u00e1jec\u00ed zdroj Nvidia Jetson Nano<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A\u010dkoli je Jetson Nano vybaven dv\u011bma nap\u00e1jec\u00edmi konektory, ve skute\u010dnosti m\u016f\u017eeme za\u0159\u00edzen\u00ed nap\u00e1jet t\u0159emi zp\u016fsoby<\/strong> – v\u00fd\u0161e zm\u00edn\u011bn\u00fdm konektorem microUSB, stejnosm\u011brnou patic\u00ed a 40kol\u00edkov\u00fdm konektorem goldpin<\/strong>. Ka\u017ed\u00fd zp\u016fsob nap\u00e1jen\u00ed m\u00e1 sv\u00e9 v\u00fdhody a nev\u00fdhody, ale pokud chcete pou\u017e\u00edvat mikropo\u010d\u00edta\u010d od spole\u010dnosti Nvidia, mus\u00edte si tuto v\u011bc dob\u0159e promyslet. Jetson Nano je pom\u011brn\u011b citliv\u00e9 za\u0159\u00edzen\u00ed, kter\u00e9 se p\u0159i nespr\u00e1vn\u00e9m nap\u00e1jen\u00ed m\u016f\u017ee ne\u010dekan\u011b vypnout, co\u017e m\u016f\u017ee m\u00edt katastrof\u00e1ln\u00ed n\u00e1sledky. Nepl\u00e1novan\u00fd v\u00fdpadek nap\u00e1jen\u00ed m\u016f\u017ee v n\u011bkter\u00fdch p\u0159\u00edpadech po\u0161kodit syst\u00e9mov\u00e9 soubory, co\u017e nejednou vede k tomu, \u017ee se mikropo\u010d\u00edta\u010d nebude cht\u00edt restartovat. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Ve v\u00fdchoz\u00edm nastaven\u00ed za\u0159\u00edzen\u00ed vy\u017eaduje 10 W v\u00fdkonu (5 V x 2 A)<\/strong>, tak\u017ee by se mohlo zd\u00e1t, \u017ee nap\u00e1jen\u00ed z portu microUSB bude dosta\u010duj\u00edc\u00ed, ale je t\u0159eba si uv\u011bdomit, \u017ee \u00fadaj 10 W nebere v \u00favahu perifern\u00ed za\u0159\u00edzen\u00ed p\u0159ipojen\u00e1 k desce. Mnohem lep\u0161\u00edm \u0159e\u0161en\u00edm je nap\u00e1jet mikropo\u010d\u00edta\u010d prost\u0159ednictv\u00edm DC<\/strong>, kter\u00fdm m\u016f\u017ee prot\u00e9kat proud 4 A<\/strong>. Vynech\u00e1m nap\u00e1jen\u00ed Jetson Nano p\u0159es goldpin konektor, proto\u017ee je to nejm\u00e9n\u011b vhodn\u00e9 \u0159e\u0161en\u00ed.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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St\u00e1v\u00e1 se, \u017ee nap\u00e1jec\u00ed zdroj je v\u011bt\u0161\u00ed ne\u017e nap\u00e1jen\u00e9 za\u0159\u00edzen\u00ed.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Za zm\u00ednku stoj\u00ed, \u017ee mikropo\u010d\u00edta\u010d od Nvidia m\u00e1 softwarovou mo\u017enost omezit spot\u0159ebu na 5 W<\/span>, v takov\u00e9m p\u0159\u00edpad\u011b se vypnou dv\u011b ze \u010dty\u0159 jader procesoru. Toto \u0159e\u0161en\u00ed v\u0161ak pom\u011brn\u011b v\u00fdrazn\u011b omezuje v\u00fdkon za\u0159\u00edzen\u00ed. <\/p>\n

B\u011bhem hran\u00ed s Nvidia Jetson Nano jsem vyzkou\u0161el n\u011bkolik mo\u017enost\u00ed nap\u00e1jen\u00ed a s \u010dist\u00fdm sv\u011bdom\u00edm mohu doporu\u010dit volbu stejnosm\u011brn\u00e9ho konektoru a dedikovan\u00e9ho zdroje s dostate\u010dnou kapacitou.<\/strong> P\u0159i nap\u00e1jen\u00ed z konektoru microUSB se ob\u010das st\u00e1valo, \u017ee se mikropo\u010d\u00edta\u010d ne\u010dekan\u011b vypnul, zejm\u00e9na p\u0159i n\u00e1ro\u010dn\u011bj\u0161\u00edch aplikac\u00edch. P\u0159i m\u011b\u0159en\u00ed odeb\u00edran\u00e9ho proudu (s p\u0159ipojen\u00fdmi periferiemi – my\u0161, kl\u00e1vesnice, s\u00ed\u0165ov\u00e1 karta USB WIFI a dv\u011b kamery) jsem po spu\u0161t\u011bn\u00ed syst\u00e9mu dos\u00e1hl hodnot kolem 700 mA<\/strong> bez jak\u00e9hokoli vyt\u00ed\u017een\u00ed. P\u0159i spu\u0161t\u011bn\u00ed n\u00e1ro\u010dn\u011bj\u0161\u00ed aplikace, konkr\u00e9tn\u011b algoritmu um\u011bl\u00e9 inteligence, kter\u00fd analyzoval obraz z kamery, dosahoval odeb\u00edran\u00fd proud n\u011bkdy a\u017e 2,3 A<\/strong>. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Nvidia Maxwell, neboli v\u00fdkon a mo\u017enosti<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Nvidia Tegra X1, \u010dip do jist\u00e9 m\u00edry podobn\u00fd \u010dipu pou\u017eit\u00e9mu v Jetsonu Nano (Zdroj: https:\/\/telecomtalk.info\/nvidia-tegra-x1-mobile-super-chip\/128615\/)<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Zven\u010d\u00ed Nvidia Jetson Nano nijak nevy\u010dn\u00edv\u00e1 a podob\u00e1 se jin\u00fdm mikropo\u010d\u00edta\u010d\u016fm dostupn\u00fdm na trhu. Jedine\u010dnost tohoto za\u0159\u00edzen\u00ed se skr\u00fdv\u00e1 pod chladi\u010dem, kter\u00fd odv\u00e1d\u00ed p\u0159ebyte\u010dn\u00e9 teplo.<\/p>\n

Zde je um\u00edst\u011bn \u010dty\u0159j\u00e1drov\u00fd procesor ARM<\/strong> s integrovan\u00fdmi grafick\u00fdmi j\u00e1dry CUDA<\/strong>. V\u00fdpo\u010detn\u00ed jednotka ARM je sice nesm\u00edrn\u011b zaj\u00edmav\u00e1, ale jedn\u00e1 se o pom\u011brn\u011b typickou sou\u010d\u00e1st v\u011bt\u0161iny mikropo\u010d\u00edta\u010d\u016f, p\u0159i\u010dem\u017e za zm\u00ednku stoj\u00ed p\u0159edev\u0161\u00edm 128 jader CUDA<\/strong> zalo\u017een\u00fdch na architektu\u0159e Maxwell Nvidia<\/strong>.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Jetson Nano vd\u011b\u010d\u00ed za svou jedine\u010dnost pr\u00e1v\u011b j\u00e1dr\u016fm, kter\u00e1 se obvykle pou\u017e\u00edvaj\u00ed pro grafick\u00e9 v\u00fdpo\u010dty. Bloky CUDA, a to v mnohem v\u011bt\u0161\u00edm po\u010dtu, lze nal\u00e9zt v grafick\u00fdch kart\u00e1ch Nvidia. Jedno j\u00e1dro se ve skute\u010dnosti skl\u00e1d\u00e1 z n\u011bkolika men\u0161\u00edch blok\u016f a pou\u017e\u00edv\u00e1 se pro paraleln\u00ed v\u00fdpo\u010dty a \u00falohy numerick\u00e9ho zpracov\u00e1n\u00ed. Bloky CUDA nav\u00edc dob\u0159e funguj\u00ed v aplikac\u00edch um\u011bl\u00e9 inteligence, jako je anal\u00fdza dat, zpracov\u00e1n\u00ed obrazu, strojov\u00e9 u\u010den\u00ed a v\u011bdeck\u00e9 simulace. CUDA tak sehr\u00e1la kl\u00ed\u010dovou roli ve v\u00fdvoji um\u011bl\u00e9 inteligence a p\u0159isp\u011bla k mnoha v\u00fdpo\u010detn\u00edm platform\u00e1m zalo\u017een\u00fdm na v\u00fdkonu a energetick\u00e9 \u00fa\u010dinnosti.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Linux je dobr\u00fd na v\u0161echno<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Nvidia Jetson Nano podporuje n\u011bkolik opera\u010dn\u00edch syst\u00e9m\u016f, ale standardn\u00edm a ofici\u00e1ln\u011b ekologicky podporovan\u00fdm syst\u00e9mem je Nvidia JetPack<\/strong> zalo\u017een\u00fd na platform\u011b Ubuntu Linux<\/strong>. Syst\u00e9m lze st\u00e1hnout z webov\u00fdch str\u00e1nek v\u00fdrobce<\/a> a pot\u00e9 ulo\u017eit na pam\u011b\u0165ovou kartu, kterou vlo\u017e\u00edte do slotu pro kartu modulu Jetson Nano. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Distribuce Linuxu<\/strong> p\u0159ipraven\u00e1 spole\u010dnost\u00ed Nvidia obsahuje software a sadu n\u00e1stroj\u016f vyvinut\u00fdch speci\u00e1ln\u011b pro platformu Jetson Nano. Syst\u00e9m je p\u0159ipraven na pr\u00e1ci s procesorem ARM a grafick\u00fdmi j\u00e1dry CUDA. D\u00edky vestav\u011bn\u00fdm \u0159e\u0161en\u00edm, jako jsou OpenCV, TensorFlow, PyTorch a TensorRT<\/strong>, je syst\u00e9m t\u00e9m\u011b\u0159 okam\u017eit\u011b p\u0159ipraven k provozov\u00e1n\u00ed aplikace um\u011bl\u00e9 inteligence. <\/span><\/p>\n

<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Pracovn\u00ed plocha, jak je vid\u011bt po spu\u0161t\u011bn\u00ed za\u0159\u00edzen\u00ed Jetson Nano.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Jak za\u010d\u00edt s po\u010d\u00edta\u010dem Nvidia Jetson Nano?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Kl\u00ed\u010dem k \u00fasp\u011bchu ka\u017ed\u00e9ho mikropo\u010d\u00edta\u010de nen\u00ed pouze hardware, stejn\u011b d\u016fle\u017eit\u00e1 je i softwarov\u00e1 podpora<\/strong>. Chcete-li za\u010d\u00edt pracovat se za\u0159\u00edzen\u00edm Nvidia Jetson Nano, m\u016f\u017eete pou\u017e\u00edt aplikaci ofici\u00e1ln\u00ed videon\u00e1vody<\/a><\/strong>dostupn\u00e9 na kan\u00e1lu YouTube – NVIDIA Developer<\/strong> . Zahrnuj\u00ed z\u00e1kladn\u00ed aspekty pou\u017e\u00edv\u00e1n\u00ed modul\u016f Jetson a krok za krokem seznamuj\u00ed se spou\u0161t\u011bn\u00edm z\u00e1kladn\u00edch algoritm\u016f um\u011bl\u00e9 inteligence.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Profil GitHub Nvidia.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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M\u00edsto, kter\u00e9 stoj\u00ed za n\u00e1v\u0161t\u011bvu, je tak\u00e9 profil GitHub Nvidi<\/strong><\/a>. Existuje spousta hotov\u00fdch p\u0159\u00edklad\u016f algoritm\u016f um\u011bl\u00e9 inteligence, kter\u00e9 lze spustit na po\u010d\u00edta\u010di Jetson Nano.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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F\u00f3rum spole\u010dnosti Nvidia.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Pokud m\u00e1te s moduly Jetson n\u011bjak\u00e9 probl\u00e9my, nav\u0161tivte pros\u00edm ofici\u00e1ln\u00ed str\u00e1nky Nvidi f\u00f3rum<\/strong><\/a>. Nejen\u017ee se zde ostatn\u00ed u\u017eivatel\u00e9 d\u011bl\u00ed o sv\u00e9 znalosti, ale m\u016f\u017eete se spolehnout i na podporu od zam\u011bstnanc\u016f spole\u010dnosti Nvidi. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Dal\u0161\u00ed mikropo\u010d\u00edta\u010de Nvidia Jetson<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Modul z rodiny Nvidia Jetson. (Zdroj: https:\/\/developer.nvidia.com\/embedded\/jetson-modules)<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Mikropo\u010d\u00edta\u010d Nvidia Jetson Nano je vlastn\u011b jen za\u010d\u00e1tek. Jedn\u00e1 se o z\u00e1kladn\u00ed model<\/strong> \u0159ady Jetson a v nab\u00eddce Nvidi je mnoho dal\u0161\u00edch za\u0159\u00edzen\u00ed s je\u0161t\u011b vy\u0161\u0161\u00edm v\u00fdkonem a schopnostmi. <\/p>\n

    \n
  • \u0158ada Jetson TX2<\/strong> – nab\u00edz\u00ed v\u00fdkon 1,33 TFLOPs, co\u017e je 2,5kr\u00e1t v\u00edce ne\u017e u modul\u016f Jetson Nano. Tato za\u0159\u00edzen\u00ed jsou zalo\u017eena na \u0161estij\u00e1drov\u00e9m procesoru (\u010dty\u0159i j\u00e1dra ARM, dv\u011b j\u00e1dra Nvidia Denver) a 256 jednotk\u00e1ch CUDA vyu\u017e\u00edvaj\u00edc\u00edch architekturu Nvidia Pascal. <\/li>\n
  • Rodina Jetson Xavier NX\/AGX<\/strong> – navr\u017eena pro autonomn\u00ed vozidla. Je zalo\u017eena na \u0161estij\u00e1drov\u00e9m nebo osmij\u00e1drov\u00e9m procesoru Nvidia Carmel a 512 nebo 384 j\u00e1drech zalo\u017een\u00fdch na architektu\u0159e Nvidia Volta.<\/li>\n
  • Jetson Orin Nano<\/strong> – Jedn\u00e1 se o pom\u011brn\u011b \u010derstvou \u0159adu z\u00e1kladn\u00edch modul\u016f pro implementaci algoritm\u016f um\u011bl\u00e9 inteligence. Nab\u00edzej\u00ed a\u017e osmdes\u00e1tin\u00e1sobn\u00fd n\u00e1r\u016fst v\u00fdkonu oproti Jetsonu Nano. Tyto mikropo\u010d\u00edta\u010de jsou zalo\u017eeny na \u0161estij\u00e1drov\u00e9m procesoru ARM a grafick\u00fdch j\u00e1drech Nvidia Ampere.<\/li>\n
  • \u0158ada Jetson AGX Orin<\/strong> – stejn\u011b jako mikropo\u010d\u00edta\u010de Xavier – byla p\u0159izp\u016fsobena pro nasazen\u00ed v pr\u016fmyslu a autonomn\u00edch vozidlech. Je zalo\u017eena na 12j\u00e1drov\u00e9m procesoru ARM, 2048 j\u00e1drech CUDA s architekturou Nvidia Ampera a 64 j\u00e1drech Tensor.<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Zdroje:<\/strong><\/p>\n

    www.youtube.com\/watch?v=QXIwdsyK7Rw&list=RDCMUCBHcMCGaiJhv-ESTcWGJPcw&start_radio=1&rv=QXIwdsyK7Rw&t=199<\/p>\n

    www.github.com\/dusty-nv\/jetson-inference<\/p>\n

    www.developer.nvidia.com\/embedded\/learn\/get-started-jetson-nano-devkit<\/p>\n

    www.developer.nvidia.com\/embedded\/twodaystoademo<\/p>\n

    www.automaticaddison.com\/how-to-blink-an-led-using-nvidia-jetson-nano\/<\/p>\n

    https:\/\/botland.cz\/moduly-nvidia\/16536-nvidia-jetson-nano-b01-arm-cortex-a57-4x-143-ghz-nvidia-maxwell-4-gb-ram-5903351241519.html<\/p>\n

    www.developer.nvidia.com\/embedded\/jetson-modules<\/p>\n

    www.developer.nvidia.com\/blog\/maxwell-most-advanced-cuda-gpu-ever-made\/<\/p>\n

    www.developer.nvidia.com\/embedded\/jetson-tx2-nx<\/p>\n

    www.www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-xavier-series\/<\/p>\n

    www.forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70<\/p>\n

    www.telecomtalk.info\/nvidia-tegra-x1-mobile-super-chip\/128615\/<\/p>\n

    <\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    S r\u016fstem trhu s um\u011blou inteligenc\u00ed se zintenziv\u0148uje i sv\u011bt desek a v\u00fdvoj\u00e1\u0159sk\u00fdch sad optimalizovan\u00fdch pro software a u\u010d\u00edc\u00ed se algoritmy. Jedn\u00edm z kl\u00ed\u010dov\u00fdch hr\u00e1\u010d\u016f ve sv\u011bt\u011b um\u011bl\u00e9 inteligence je spole\u010dnost Nvidia, kterou n\u011bkte\u0159\u00ed pova\u017euj\u00ed za jednoho z hlavn\u00edch l\u00eddr\u016f v tomto odv\u011btv\u00ed.<\/p>\n","protected":false},"author":34,"featured_media":68231,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[549,560],"tags":[],"class_list":["post-68521","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kompendium-cs","category-poradenstvi"],"acf":[],"yoast_head":"\nNvidia Jetson - recenze a mo\u017enosti - Botland<\/title>\n<meta name=\"description\" content=\"S r\u016fstem trhu s um\u011blou inteligenc\u00ed se zintenziv\u0148uje i sv\u011bt desek a v\u00fdvoj\u00e1\u0159sk\u00fdch sad optimalizovan\u00fdch pro software a u\u010d\u00edc\u00ed se algoritmy. Jedn\u00edm z kl\u00ed\u010dov\u00fdch hr\u00e1\u010d\u016f ve sv\u011bt\u011b um\u011bl\u00e9 inteligence je spole\u010dnost Nvidia, kterou n\u011bkte\u0159\u00ed pova\u017euj\u00ed za jednoho z hlavn\u00edch l\u00eddr\u016f v tomto odv\u011btv\u00ed.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/botland.cz\/blog\/nvidia-jetson-recenze-a-moznosti\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nvidia Jetson - recenze a mo\u017enosti - Botland\" \/>\n<meta property=\"og:description\" content=\"S r\u016fstem trhu s um\u011blou inteligenc\u00ed se zintenziv\u0148uje i sv\u011bt desek a v\u00fdvoj\u00e1\u0159sk\u00fdch sad optimalizovan\u00fdch pro software a u\u010d\u00edc\u00ed se algoritmy. 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