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Yini i-Jetson Agx Orin?
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Yini i-Jetson Agx Orin?

2025-03-17 09:55:29


I-NVIDIA Jetson AGX Orin ingaphezu nje kwegajethi; ngumbhemu enyakazisa umhlaba we-edge computing. Le khompuyutha enebhodi elilodwa, eyakhiwe yi-NVIDIA, ipakisha isibhakela se-AI esinamandla, esinekhono lokufunda okujulile namandla okucubungula ngesikhathi sangempela azohlomula yonke into kusukela kumarobhothi kuya emadolobheni ahlakaniphile. Cabangela igajethi encane engashayela imishini ezimele, icubungule izibalo zevidiyo, futhi inikeze amandla amanethiwekhi e-neural sonke kuyilapho idla amandla njenge-lightweight. Leyo yiJetson AGX Orin ngamafuphi.


Okuqukethwe


Kungani lokhu kubalulekile? I-Edge AI ishintsha indlela esisebenzisana ngayo nobuchwepheshe. Esikhundleni sokuthembela kumaseva amafu akude, amadivayisi afana nedatha ye-AGX Orin lapho idalwe khona—cabanga ngamadivayisi ahlakaniphile ezinkingeni zokubona ukunakekelwa kwezempilo ngokushesha noma amasistimu wezimboni abamba amaphutha ngokushesha. Ngokufinyelela ku-275 TOPS (ukusebenza kwe-tera ngomzuzwana) wokusebenza, ngenxa ye-Ampere GPU yayo ne-Tensor cores, kuwukugxumela phambili kunoma ubani odinga ikhompyutha esebenza kahle kakhulu ku-compact system-on-module.
Umndeni wakwaJetson bekuyintandokazi konjiniyela, futhi i-AGX Orin ihlezi phezulu. Uma kuqhathaniswa nezingane zaso ezifana ne-Xavier NX noma i-TX2, iyisilo sezinga elilandelayo, esihlanganisa ukusebenza kahle kwamandla namandla amakhulu ekhompyutha. Kungakhathaliseki ukuthi ufunda amarobhothi, i-IoT, noma ufunda ngomshini, le kit—ephelele nge-JetPack SDK—ikunikeza amathuluzi okwakha izinhlelo zokusebenza ze-AI ezisezingeni eliphezulu.


Imininingwane Yobuchwepheshe ye-Jetson AGX Orin

I-NVIDIA Jetson AGX Orin akulona nje igama elihle—iyisilwane esingaphansi kwesivalo, esakhelwe ukwenza ikhompuyutha enqenqemeni kanye ne-AI efuna ukukhononda okukhulu. Ake sihlukanise ukuthi yini eyenza le khompuyutha yebhodi elilodwa iphawule, kusukela kusisipha sayo se-GPU kuya ekusebenzeni kwayo kahle kwamandla.

I-A. GPU ne-CPU Architecture
Enhliziyweni yayo kukhona i-Ampere GPU, isisekelo se-NVIDIA esilayishwe ngama-Tensor cores okufunda okujulile namanethiwekhi emizwa. Lena akuyona i-chip yakho yezithombe emaphakathi—ilungiselwe ukucatshangelwa kanye nokucutshungulwa kwesikhathi sangempela, iphusha kufika ku-275 TOPS. Ibhangqwe ne-12-core Cortex CPU, inobuchopho bokuhlanganisa imisebenzi yezinzwa eziningi efana nokuhlaziya ividiyo noma ukuzulazula okuzenzakalelayo. Kucabange njengeqembu lamathegi wokugcina womthwalo wokufunda ngomshini.

B. Amamethrikhi Okusebenza
Ishesha kangakanani? Isilinganiso se-TOPS sithi konke-275 trillion ukusebenza ngomzuzwana. Uma kuqhathaniswa neJetson AGX Xavier (32 TOPS), lona umkhumbi wamarokhethi. Yakhelwe imisebenzi esebenza kahle kakhulu, noma ngabe usebenzisa i-semantic segmentation kumarobhothi noma amamodeli e-transformer emadolobheni ahlakaniphile. Amabhentshimakhi afana ne-MLPerf ayibonisa ihlafuna emigqeni yokukhomba kalula, ishaya i-FPS ephezulu (ozimele ngomzuzwana) ekucutshungulweni kwevidiyo.

C. Inkumbulo Nezici Zokugcina
Inkumbulo? Ubheke i-LPDDR5 RAM—32GB noma 64GB kuye ngemodeli—ivutha ngokushesha kumasistimu ashumekiwe. Isitoreji siza nge-EMMC (isisekelo esingu-256GB) esine-microSD slot ukuze uthole isikhala esengeziwe. Kuningi komthwalo we-AI noma idatha yokusakaza okuningi evela kumadivayisi ahlakaniphile.

D. Ukusebenza kahle kwamandla kanye nokuphatha okushisayo
Ngaphandle kwamandla, idonsa amandla—15W ukuya ku-60W, elungiseka ngokwezidingo zakho. Ukuphatha okushisayo kukugcina kupholile, ngisho nasezinhlelweni zezimboni noma ezindaweni ezivalekile ze-IoT. Leyo idizayini eyonga amandla yokuwina.

Ukucaciswa Imininingwane
I-GPU Ampere, 2048 CUDA cores
CPU I-12-core Cortex-A78AE
Inkumbulo 32GB/64GB LPDDR5
Ukusebenza Kufika ku-275 TOPS
Amandla 15W–60W


Izici ezibalulekile ze-Jetson AGX Orin

I-NVIDIA Jetson AGX Orin akuyona nje i-hardware—ishintsha umdlalo we-AI enqenqemeni. Le khompuyutha enebhodi elilodwa ikhanya ngezici eziyenza ibe ukukhetha okuphezulu konjiniyela, abathanda amarobhothi, nochwepheshe bezimboni. Ake singene kulokho okuhlukanisayo.


A. Amakhono e-AI Athuthukile

Le nto idla ukufunda okujulile kwesidlo sasekuseni. Ngama-Ampere GPU ayo kanye nama-Tensor cores, ikhuphuka ifike ku-275 TOPS ukuze icutshungulwe ngesikhathi sangempela. Udinga amanethiwekhi e-neural ukuze uthole into noma ukuhlukaniswa kwe-semantic? Kwenziwe. Yakhelwe amapayipi okucabanga, ukuphatha imisebenzi eyinkimbinkimbi yokufunda komshini—njengokunika amandla imishini ezimele noma i-AI ekhiqizayo eshwabene—ngaphandle kokujuluka. Kungakhathaliseki ukuthi amadolobha ahlakaniphile noma ukunakekelwa kwezempilo, i-AGX Orin iletha i-AI esebenza kahle kakhulu lapho idingeka khona kakhulu.


B. Ukuhlanganiswa Kwezinzwa Eziningi

Unamakhamera noma izinzwa? I-Jetson AGX Orin iyabathanda. Isekela ukuxhumana okunesivinini esikhulu njenge-MIPI CSI ne-GMSL, ilungele ukuhlaziya amavidiyo kuyo yonke imifudlana eminingi. Cabanga ngethrafikhi yokulandelela ingqalasizinda ehlakaniphile noma imigqa yokukhiqiza yezinhlelo zezimboni. Ingumpetha ekuhlanganisweni kwezinzwa eziningi, ukuhlanganisa idatha yokuzulazula okuzenzakalelayo noma ukulinganisa kwe-pose kumarobhothi. Lokho kushumekiwe i-AI enyakazisa imisipha yayo.


C. Software Ecosystem

Ayikho i-hardware enhle ephelele ngaphandle kwesoftware ebulalayo. I-JetPack SDK iyithikithi lakho, ihlanganisa i-TensorRT ukuze uthole incazelo ethuthukisiwe, i-CUDA yokubhala amakhodi ngokwezifiso, kanye namathuluzi asekelwe ku-Linux okuvumelana nezimo. Kuyikhithi kanjiniyela egcwele ngokugcwele, ekuvumela ukuthi ufanise izinhlelo zokusebenza ze-AI ngokushesha—kungaba eye-IoT, amadivayisi ahlakaniphile, noma ukucubungula ividiyo. Ufuna ukufakwa kweziqukathi noma ukusetha komdabu wasefu? Ikumbozile.


I-Jetson AGX Orin ayiyona nje ubuchwepheshe—iyikhithi yamathuluzi yokuqamba izinto ezintsha. Kusukela kumklamo oyonga amandla kuye kuzici ezihamba phambili, ilungele izinselele zesizukulwane esilandelayo. Noma ngabe wakha amasistimu azimele noma ucindezela imikhawulo yekhompuyutha, lesi isiqalisi sakho.


Izicelo ze-Jetson AGX Orin

I-NVIDIA Jetson AGX Orin ayilona nje ithoyizi lobuchwepheshe—iyihhashi elinikeza amandla izixazululo zomhlaba wangempela. Ngomsipha wayo onqenqemeni we-AI, le khompuyutha yebhodi elilodwa ibhekana nayo yonke into kusukela kumarobhothi kuya emadolobheni ahlakaniphile. Nakhu lapho kukhanya khona.


A. Amarobhothi kanye Nemishini Yokuzimela

Kuzinhlelo ezizimele, i-AGX Orin iyiphupho. I-Ampere GPU yayo kanye nama-Tensor cores ahamba ngemisebenzi ejulile yokufunda njengokutholwa kwento nokuzulazula okuzenzakalelayo, efinyelela ku-275 TOPS. Izithombe ze-warehouse bots zigwema izithiyo noma ama-drones abeka imephu indawo—konke sibonga ukucubungula kwesikhathi sangempela. Onjiniyela bayayithanda kumaphrojekthi we-prototyping robotics, nge-JetPack SDK eshelela ukugibela.


B. Izixazululo Zezimboni Nezokukhiqiza

Ezilungiselelweni zezimboni, lesi silwane sithuthukisa ukuhamba komsebenzi. Cabanga ngezimboni ezihlakaniphile zisebenzisa izibalo zevidiyo ukuze zibone amaphutha noma ukufunda ngomshini ukuze kulungiswe kusengaphambili. Ngosekelo lwezinzwa eziningi, iphatha ukusakazwa okuningi—njengokungathi, amakhamera nezinzwa—iqinisekisa ukulawula kwekhwalithi yokusebenza okuphezulu. Kuwukuwina kokukhiqiza, ukunciphisa isikhathi sokuphumula kanye nokuthuthukisa ukusebenza kahle.


C. Smart Cities kanye ne-IoT

Amadolobha ahlakaniphile ancike kakhulu kukhompyutha, futhi i-AGX Orin iyaletha. Inika amandla ukubhekwa kwevidiyo kokuphathwa kwethrafikhi noma ingqalasizinda ehlakaniphile njengamagridi wamandla. Amadivayisi e-IoT aboshelwe kuyo angacubungula idatha esizeni, eqe ifu. Noma ngabe ukuhlukaniswa kwe-semantic kokuqapha isixuku noma izibalo zesikhathi sangempela zokuhlelwa kwamadolobha, kuyisisekelo samadolobha esizukulwane esilandelayo.


D. Healthcare Innovations

Kwezokunakekelwa kwempilo, i-AGX Orin yenza izinhlelo zokusebenza ze-AI ziphile. Ilungele ukuxilonga okunamandla e-AI, ukuhlaziya amaskena ngamanethiwekhi e-neural, noma ukusebenzisa ukulinganisa kokuma kobuchwepheshe bokuvuselela. Izibhedlela zisebenzisa amandla ako ekhompiyutha ukuqapha isiguli ngesikhathi sangempela—cabanga ngemishini eseceleni kombhede engacwayizi. Yonga amandla ngokwanele egiyeni eliphathekayo futhi.


I-Jetson AGX Original Developer Kit

Ikhithi Yonjiniyela ye-NVIDIA Jetson AGX Orin ayilona nje ibhokisi lezingxenye—iyisiqalisi sabaphuphi be-AI abasemaphethelweni. Noma ngabe uthanda amarobhothi, amadolobha ahlakaniphile, noma ufunda ngokujulile, le kit ibeka amathuluzi okusebenza okuphezulu ezandleni zakho. Ake sikhiphe lokho elikunikezayo.


A. Yini Efakwe Kukhithi Yonjiniyela

Vula ibhokisi, futhi unemojula ye-Jetson AGX Orin—cabanga i-Ampere GPU, ama-Tensor cores, kanye namandla afinyelela kwangu-275 wekhompyutha. Iza nebhodi yenkampani yenethiwekhi yereferensi yezemidlalo enesivinini esikhulu njenge-USB 3.2, HDMI, kanye nezikhala ze-NVMe ukuze uthole isitoreji esengeziwe ngale kwe-EMMC. Faka ama-adaptha amandla, izintambo, nenketho ye-microSD, futhi usulungele ukugingqa. I-system-on-module eyakhelwe isenzo.


B. Indlela Isekela I-Prototyping Esheshayo

Le kit isindisa isikhathi konjiniyela. Imataniswe ne-JetPack SDK, uthola i-TensorRT yokunquma okucacile, i-CUDA yama-tweaks angokwezifiso, nezinto ze-Linux zokuqalisa izinhlelo zokusebenza ze-AI. Ufuna ukuhlola izibalo zevidiyo noma amanethiwekhi e-neural emishini ezimele? Xhuma amakhamera nge-MIPI CSI, futhi wenza i-prototyping yesikhathi sangempela ngamahora, hhayi amaviki. Konke kumayelana nokukala—qala kancane, ngezikali ezinkulu.


C. Ukulungiseka kabusha kwe-Orin NX ne-Nano

Ukuvumelana nezimo kuyinkosi lapha. Ibhodi lidlala kahle nge-Orin NX kanye ne-Orin Nano, likuvumela ukuthi ushintshe amamojula ngokuya ngezidingo zakho—ama-TOPS amancane we-IoT eyonga amandla, engeziwe emisipha yezimboni. Kuyikhithi yonjiniyela ekhula ngephrojekthi yakho, noma ngabe ufunda ngomshini wokubhala amakhodi kumadivayisi ahlakaniphile noma ukucubungula ividiyo yengqalasizinda ehlakaniphile.


Amabhentshimakhi wokusebenza

I-NVIDIA Jetson AGX Orin ayiyona nje i-hype—iyisilo esisebenza kahle kakhulu esinezinombolo zokuyisekela. Noma ngabe uphusha i-AI enqenqemeni, amarobhothi, noma izibalo zevidiyo, amabhentshimakhi ayo axoxa indaba yamandla ekhompyutha aluhlaza. Ake singene ezibalweni.


A. MLPerf Inference Results

Ezivivinyweni ze-MLPerf—izinga legolide lemisipha ye-AI—i-AGX Orin inyakaza kanzima. Nge-Ampere GPU yayo kanye ne-Tensor cores, ifinyelela ku-275 TOPS (ukusebenza kwe-tera ngomzuzwana), imisebenzi yokubhema njengokutholwa kwento nokuhlukaniswa kwe-semantic. Isebenzisa amapayipi okukhomba nge-TensorRT, ingena kumamodeli okufunda ajulile—cabanga iziguquli zombono noma i-AI ekhiqizayo—ngesivinini esishiya izimbangi othulini. Ukuze kucutshungulwe ngesikhathi sangempela, kuwumpetha.


B. Ukuqhathanisa namanye amamodeli we-Jetson

Yibeke ngokumelene ne-Jetson TX2 (1.3 TOPS) noma i-Xavier NX (21 TOPS), kanye ne-AGX Orin yohlobo oluhlukile. Ngisho neJetson AGX Xavier (32 TOPS) ibukeka ithambile eduze kwale rig yesizukulwane esilandelayo. I-LPDDR5 RAM yayo kanye ne-multi-core Cortex CPU iphatha imifudlana eminingi—ake sithi, ukucutshungulwa kwevidiyo kwamadolobha ahlakaniphile—kalula. Ukweqa ekusebenzeni kusho ukuthi imishini ezimele kakhulu noma amadivaysi ahlakaniphile angasebenzisa amanethiwekhi ayinkimbinkimbi we-neural ngaphandle kokuklinywa.


C. I-FPS Yomhlaba Wangempela kanye Nesivinini Sokucubungula

Izilinganiso zozimele zibalulekile, futhi i-AGX Orin iyaletha. Kuzibalo zevidiyo, iwashi i-FPS (ozimele ngesekhondi) enyakatho ye-100 ekusethweni kwamakhamera amaningi, ngenxa yokusheshisa kwehadiwe. Ukuhlola ingqalasizinda ehlakaniphile noma amacala okusetshenziswa kwezimboni? Icubungula ukusakaza kwe-4K ngesivinini esikhulu, igcina amandla ayonga ngisho nangaphansi komthwalo. Leyo yi-AI eshumekiwe enganyakazi.

Imodeli EZINGAPHEZULU I-FPS (4K) Amandla
Umculo we-AGX 275 100+ 15-60W
AGX Xavier 32 30-40 10-30W
I-Xavier NX 21 20-30 10-20W
I-Jetson AGX Orin ayisheshi nje—iyinkosi esezingeni eliphezulu. Konjiniyela ababhekana nokufunda komshini noma izibalo zesikhathi sangempela, i-computing enqenqemeni yobufakazi ingaba namandla futhi ibe ngokoqobo.

Izinzuzo Jetson AGX Orin

I-NVIDIA Jetson AGX Orin akuyona nje enye ikhompuyutha yebhodi elilodwa—ivelele emdlalweni we-AI onqenqemeni. Ngokusebenza okuphezulu okubhakwe ku-DNA yayo, le-system-on-module iletha izinzuzo ezingathi sína konjiniyela, ama-robotics buffs, nochwepheshe bezimboni. Nakhu ukuthi kungani kuyisikiwe ngenhla.

A. I-Scalability Yemisebenzi Ehlukahlukene
Udinga ukuguquguquka? I-AGX Orin iyaletha. I-Ampere GPU yayo kanye ne-Tensor cores iphuma ifike ku-275 TOPS, isuka emisebenzini engasindi ye-IoT iye emisebenzini yokufunda ejulile esindayo efana nokuhlukaniswa kwe-semantic noma iziguquli zombono. Kungakhathaliseki ukuthi ubhalela amadolobha ahlakaniphile, imishini ezimele, noma izibalo zevidiyo, iyalungisa—imatanise ne-Orin NX noma i-Nano yamagigi amancane, noma yenza i-throttle egcwele ukuze uthole i-industrial crunching. Lokho ukuqina ngemisipha.

B. Ukusebenza Kwamandla Ezinhlelweni Ezishumekiwe
Ingulube yamandla? Hhayi lapha. Isebenza phakathi kuka-15W kanye no-60W, iyonga amandla ngokwanele ku-AI eshumekiwe ezindaweni eziqinile—cabanga ngamadivayisi ahlakaniphile kwezokunakekelwa kwempilo noma ama-drones wezokuthutha. Ukuphatha okushisayo kukugcina kupholile ngaphansi kwengcindezi, ukuze uthole ukucubungula ngesikhathi sangempela ngaphandle kokuthosa ibhodi. Ngengqalasizinda ehlakaniphile noma ezolimo, umshini oluhlaza ongaweqi amandla ekhompyutha.

C. I-Cutting-Edge Hardware Acceleration
Isivinini igama lomdlalo, futhi ukusheshisa kwehadiwe ye-AGX Orin kusezingeni eliphezulu. Nge-CUDA, i-TensorRT, ne-JetPack SDK, yenza ama-turbocharges inference kumanethiwekhi e-neural—cabanga ukutholwa kwento noma ukubeka isilinganiso ku-FPS evuthayo. Yakhelwe izinhlelo zokusebenza ze-AI yesizukulwane esilandelayo, kusukela ekuhlolweni kwekhwalithi yokukhiqiza kuya ekulandeleleni isitoko okudayisa. Lokho ubuchwepheshe obusezingeni eliphezulu kuphakheji elihlangene.

Ukuwina okukhulu:
Okuhlukahlukene: Iphatha idatha yezinzwa eziningi yamasistimu azimele.
Ukusebenza kahle: Ukusetshenziswa kwamandla okuphansi ekucubungulweni kwevidiyo okude.
Ngokushesha: Ukufunda ngomshini okuhambisana nezibalo zesikhathi sangempela.

I-Jetson AGX Orin ayilona nje ithuluzi—inamandla okwenza izinto ezintsha. Inhlanganisela yayo yokuqina, ukusebenza kahle kwamandla, nokusebenza kwesivinini esiphezulu kuyenza ibe indlela eya kumasistimu ashumekiwe nangaphezulu, okufakazela ukuthi ukusebenzisa ikhompuyutha onqenqemeni kungaba kokubili okusebenzisekayo nekusasa.


Ngabe iJetson AGX Orin igqama kanjani?

I-NVIDIA Jetson AGX Orin akuyona nje enye ikhompuyutha yebhodi elilodwa—iyi-titan emhlabeni we-AI onqenqemeni. Ngezici ezisebenza kahle kakhulu nekhono lokuqamba izinto ezintsha, ishiya iphakethe ngemuva. Nakhu okuyenza ikhetheke.

A. Edge AI Ubuholi Emakethe
Uma kukhulunywa ngekhompyutha enqenqemeni, i-AGX Orin iyabusa. I-Ampere GPU yayo kanye nama-Tensor cores aletha afika ku-275 TOPS, anika amandla ukufunda okujulile nokucubungula kwesikhathi sangempela okungafani nokunye. Kusukela emadolobheni ahlakaniphile kuya kumarobhothi, iyindawo yonjiniyela abadinga amandla ekhompyutha ekugcineni. Ayikho i-cloud lag—umsipha we-inference ongahluziwe lapho ubala khona.

B. Umphetho Wokuncintisana Ngamanye Amakhompiyutha Ebhodi Elilodwa
Uma kuqhathaniswa nezimbangi, le-module-on-module iyisilo. I-Raspberry Pi noma i-TX2 ayikwazi ukuthinta isivinini sayo sokuhlaziya ividiyo noma ukwesekwa kwezinzwa eziningi. Nge-JetPack SDK, CUDA, ne-TensorRT, iwuhlelo lwendalo olugcwele—hhayi nje ihadiwe. Tack on LPDDR5 RAM kanye nedizayini eyonga amandla, futhi yakhelwe imishini ezimele kanye nomsebenzi wezimboni, hhayi amaphrojekthi wokuzilibazisa kuphela.

C. Ukuqinisekisa Ikusasa Nge-Next-Gen Technology
I-AGX Orin ayimile namhlanje—isilungile isizukulwane esilandelayo. Iphatha iziguquli zombono, i-AI ekhiqizayo, nengqalasizinda ehlakaniphile kalula, ngenxa yokusheshisa kwehadiwe. Ukukhula kwayo kusho ukuthi ikhula ngezinhlelo zakho zokusebenza ze-AI, kungaba kwezokunakekelwa kwezempilo, okokusebenza, noma i-IoT. Lobu ubuchwepheshe obusezingeni eliphezulu obungeke buguge ngokushesha.


Ukuqalisa nge-Jetson AGX Orin

I-NVIDIA Jetson AGX Orin ithikithi lakho lokuphetha i-AI, futhi ukugxumela phakathi kulula kunalokho obungacabanga. Kungakhathaliseki ukuthi ungunjiniyela, umuntu othanda ukuzilibazisa, noma ojaha amarobhothi noma amadolobha ahlakaniphile, nansi indlela yokufika kuqala ngale khithi esebenza kahle kakhulu.

A. Ukusetha Ikhithi Yonjiniyela
Khipha ibhokisi lekhithi yonjiniyela ye-Jetson AGX Orin, futhi unesistimu ekhona kumojula elungele ukuqala. Xhuma amandla, xhuma imonitha nge-HDMI, bese uxhuma ikhibhodi. Ikhadi le-MicroSD—elilayishwe ngaphambili noma cha—liyidrayivu yakho yokuqalisa, ngakho lifake. Ngezindawo zokusebenzelana ezinesivinini esikhulu njenge-USB 3.2, usethelwe ukuhlolwa kwezinzwa eziningi noma ukuhlaziya amavidiyo khona lapho.
Uma ufuna i i-PC encane engena fan ukubhanqa nokusetha kwakho okunamandla e-Jetson, isisombululo sekhompuyutha esiqinile nesithule singathuthukisa ukuthunyelwa kwe-AI yezimboni.

B. Ukufaka i-JetPack kanye Nesofthiwe Edingekayo

Okulandelayo, bamba i-JetPack SDK—kuyinhliziyo yalokhu PC eshumekiwe AI isilo. Yilande kusayithi ye-NVIDIA, uyikhanyise ku-microSD yakho usebenzisa ithuluzi elifana no-Balena Etcher, bese uyiqalisa. Uzothola i-TensorRT yokunquma, i-CUDA yekhodi yangokwezifiso, kanye nesisekelo se-Linux sokuguquguquka. Konke kwenziwa lula ukuze kuqalwe ukufunda okujulile noma ukucubungula ngesikhathi sangempela—cabanga ukutholwa kwento emishinini ezimele.

Uma ufuna isixazululo koholayo umenzi wekhompyutha oshumekiwe, uzothola izinkundla zekhompyutha zebanga lezimboni ezakhelwe ukusheshisa kwe-AI.


C. Izinyathelo Zokuqala Zonjiniyela Nabathanda Ukuzilibazisa

Qala kancane: sebenzisa isampula ku-JetPack ukuze uhlole i-Ampere GPU ne-Tensor cores—mhlawumbe idemo yokucubungula ividiyo eshaya i-FPS eqinile. I-Tinker ngamadivayisi ahlakaniphile noma ukusetha kwe-IoT usebenzisa i-LPDDR5 RAM nesitoreji se-EMMC. Ukukhula kwekhithi kukuvumela ukuthi ukhuphukele kumaphrojekthi wezingqalasizinda ezimboni noma ezihlakaniphile kamuva.

Ngokusetshenziswa okukhudlwana, a ikhompuyutha eshumekiwe engena fan noma i I-PC yezimboni eshumekiwe ingahlinzeka ngokusebenza okuqinile, okunamandla aphansi okudingekayo kuma-edge AI. Labo abaphatha imisebenzi ethuthukisiwe yokufunda komshini bangase bacabangele i I-PC yezimboni ene-GPU ukusekela imithwalo yemisebenzi esheshiswe yi-GPU.

Uma udinga i-compact kodwa enamandla ibhokisi elishumekiwe le-PC noma ukusebenza okuphezulu isistimu ye-PC eshumekiwe, lezi zinketho zenzelwe i-automation eshayelwa yi-AI kanye nokucubungula kwesikhathi sangempela emaphethelweni.

Imikhiqizo Ehlobene

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