Iphrojekthi yeTitan kwe-Apple sekuza kuqala futhi kubantu baseCupertino kuyinto okufanele batshale imali ekuqhubekeni nokuzama iguqula imboni kepha kulokhu imoto. Kangangokuthi manje kubukeka sengathi babheje kakhulu kubuchwepheshe obakhiwe nguNvidia obubizwa nge- "Deep Learning".
Ngokwolwazi lwakamuva, uJonathan Cohen, umqondisi we-Deep Learning kwaNvidia, ngabe usanda kujoyina i-Apple noma okungenani lokho kungaphethwa ngokushintshwa komsebenzi kwakamuva okukhonjiswa yiphrofayili yakhe ku-LinkedIn. Okwamanje ukhombisa kuphela ukuthi uzoba sesikhundleni se-'Software 'kepha konke kubonakala kukhombisa ukuthi uzoba ngomunye wababhekele ukuthuthukiswa kwe izinhlelo zokusiza abashayeli (i-ADAS isihambile) noma izixazululo zezimoto ezizimele.
Yize iNvidia iyinkampani eyaziwa ngumphakathi jikelele njengenkampani ezinikele emkhakheni wegeyimu yevidiyo ithuthukisa ama-GPU athile alo msebenzi, ineminye neminyango ye-R & D le phrojekthi ye-Deep Learning ngezindikimba ezihlukile njenge-bioinformatics nokufunda okuzenzakalelayo ngaphansi kwamapulatifomu womsebenzi we-CUDA.
Uma sigxila ngqo emkhakheni wezimoto, sibona ukuthi iphrojekthi yakamuva eyethulwe nguNvidia izoncika kanjani kuyunithi INvidia PX, iGPU esekwe kuTegra X1 Iyakwazi ukuphatha inani elikhulu lemininingwane ebonakalayo ngamakhamera ahlukene afakwe emotweni futhi "ifunde" konke ekurekhodayo.
Ngakolunye uhlangothi, ubuchwepheshe banamuhla besistimu yosizo lwabashayeli (ADAS) obuthuthukile bungathola izinto ezithile, noma ngabe zinezigaba ezithile eziyisisekelo, futhi zixwayise umshayeli ize ime imoto. NgeNvidia PX inhloso ukuqhubekela phambili futhi uhlukanise izinhlobo zezimoto ngezigaba ezinembe kakhulu, ukusuka elolini lokulethwa ukuya emotweni emile.
Sethemba ukuthi esikhathini esizayo esingekude kakhulu ngolunye usuku singabona lolu hlobo lokuhamba phambili emotweni leyo ukwandisa ukuphepha okuphelele bobabili abashayeli nabahamba ngezinyawo emotweni ye-Apple.