I-CEO ye-Nvidia iphusha ama-accelerator njengendlela yokwelapha yokusimama • Irejista

I-GTC Ngaphezulu, Ingqungquthela ye-GPU Technology yaseNvidia yasentwasahlobo iphinde yavulwa ngenothi eyisihluthulelo ebuswa ubuchwepheshe be-AI obukhiqizayo.

Lokho akufanele kusimangaze. Naphezu kwenqubekelaphambili eyenziwe ukuthandwa kwe-AMD, Intel, nabanye, i-Nvidia isalokhu ingumhlinzeki omkhulu wama-GPU nama-accelerator asetshenziselwa ukulayisha umsebenzi wokufunda ngomshini.

Kepha ngemuva kwakho konke ubukhazikhazi obunikezwe amamodeli we-AI wakamuva we-Nvidia, izinhlaka zokusheshisa, nehadiwe – okunokuningi esingakhuluma ngakho – kucashe udaba lokusimama. Iphuzu elavela kaningi ngesikhathi senkulumo eyisihluthulelo ye-GTC ye-CEO uJensen Huang – bheka ngezansi – lapho agcizelela khona ukuthi kungasebenzi futhi kubiza kangakanani ukwenza le mithwalo yomsebenzi kumaseva enhloso evamile.

Ividiyo ye-Youtube

Kukhona ukufaneleka kwengxabano yakhe. Nakuba kungewona wonke umthwalo ofaniswa kalula, lawo angathambekela ekusebenzeni kahle kakhulu. Kunesizathu esenza ukuthi ama-supercomputer asheshiswe yi-GPU alawule Okuhlaza 500.

“I-Cloud computing ikhule ngamaphesenti angu-20 ngonyaka ibe yimboni enkulu ye-$ 1 trillion. Amanye amaseva we-CPU ayizigidi ezingu-30 enza iningi lokucubungula,” kusho u-Huang. “Njengoba ‘uMthetho kaMoore’ uphela, ukusebenza kwe-CPU okwandayo kuza namandla angeziwe, futhi igunya lokunciphisa ukukhishwa kwekhabhoni lingqubuzana nesidingo sokwandisa ama-datacenters.”

Uthi ukusheshisa ukuphela kwendlela yokunciphisa ukusetshenziswa kwamandla. Kodwa akukhona ukuthi uNvidia ufuna nje ukukudayisela ama-GPU amaningi ngesikhathi lapho isidingo siphansi kuzo zonke izingxenye eziningi, inkampani inephothifoliyo ephelele yama-accelerator nesofthiwe ongayisebenzisa nabo efuna ukukuthengisa nawe. I-Nvidia inama-GPU anikezelwe ekuqeqeshweni kwe-AI, amanye aklanyelwe ukuhlehlisa, ukubuka ngamehlo engqondo, nokucutshungulwa kwevidiyo, kanye nekhithi yokuxhumana nokucubungula idatha ukuze kuhlanganiswe konke ndawonye.

“Ama-datacenter kumele asheshise wonke umthwalo womsebenzi ukuze athole amandla kabusha kanye nama-GPU amahhala okukhiqiza imali engenayo kanye nokulayishwa kwe-Nvidia’s Bluefield futhi asheshise uhlelo lokusebenza lwe-datacenter kanye nesofthiwe yengqalasizinda,” kusho u-Huang lapho ekhuluma ne-Bluefield-3 DPUs yenkampani.

Futhi ngemithwalo yomsebenzi engakwazi ukusheshiswa kusetshenziswa ama-GPU noma ama-DPU, i-Nvidia ine-Grace CPU yayo esekelwe engalweni. “Yonke i-144-core Grace Superchip inamandla aphansi kangangokuthi ikwazi ukupholiswa emoyeni,” kusho u-Huang, ephakamisa i-heatsink ye-chip engu-5×8-inch 1U.

Ngokwerekhodi, iGrace Superchip, ehlanganisa i-1TB yememori ye-LPDDR, isenamandla omklamo oshisayo (TDP) alinganiselwe angama-500W, ngakho-ke akuyona ingxenye yamandla ephansi kakhulu ngaphandle lapho. Ukuze uqhathanise, i-AMD’s 96-core/192-thread Epyc 4 ine-TDP elungisekayo engu-360W-400W. Ukusebenza emisebenzini ehlukene, hhayi i-TDP, ngakho-ke kuzonquma ukuncintisana kokusebenza kahle phakathi kwalokhu kokubili ngokwezinga elikhulu kune-TDP iyodwa.

Ngemva kokwakha i-Hardware, kuyacaca ukuthi isinyathelo esilandelayo sikaNvidia ukulandela futhi akhe imitapo yolwazi yesofthiwe ukusheshisa umsebenzi kuyo yonke imboni ethembele kuma-CPU namuhla – empeleni kwakha izimakethe ezintsha zehadiwe yayo. Imitapo yolwazi emisha ye-computational lithography yenkampani yile ubufakazi kulokho nje, u-Huang ethi i-TSMC ingashintsha ama-CPU node ayo angu-40,000 ngamaseva ambalwa afinyelela ku-500 DGX H100 ngenkathi inqamula ukusetshenziswa kwamandla ukusuka ku-35MW kuya ku-5MW kule nqubo.

Inkundla igcwele kakhulu kunakuqala

Uma konke lokhu kuzwakala kujwayelekile, lokho kungenxa yokuthi i-CEO ye-AMD uLisa SU ishaye kakhulu amaphuzu afanayo ngenkathi ekhuluma eNgqungqutheleni Yamazwe Ngamazwe Yezifunda Zezifunda Eziqinile ngasekupheleni kukaFebhuwari.

Ngesikhathi senkulumo yakhe eyisihluthulelo u-Su uxwayise ngokuthi ngaphandle uma kuthathwa izinyathelo ezinqala phakathi neshumi leminyaka ukuthuthukisa ukusebenza kahle kwezakhiwo zekhompiyutha, amakhompiyutha anamandla kakhulu emhlabeni ngeke nje alingise ukusabela kwenuzi, kuzodingeka asebenze kuwo.

Impendulo ye-AMD kulokhu ibandakanya izinhlobonhlobo zezakhiwo zekhompiyutha kanye nezimiso zokuklama, okuhlanganisa ezimbalwa, njengama-chiplets, eyaphayona ngazo. Ukusebenzisa lobu buchwepheshe i-AMD isebenzela ukushumeka ama-accelerator azo zonke izinhlobo kumapulatifomu ayo. Isibonelo, i-MI300 APU ezayo yenkampani ihlanganisa ama-Zen 4 CPU cores nama-CDNA3 GPU ayo kanye nomthwalo wesikebhe wenkumbulo yomkhawulokudonsa ophezulu.

Oqhudelanayo we-x86 uphinde asebenzele ukwakha ama-FPGA, ama-accelerator e-AI, nama-DPU, atholwe kwa-Xilinx nasePensando, abe kuma-chip awo ukuze kusheshiswe imithwalo eminingi yomsebenzi futhi kuthuthukiswe ukusebenza kahle kwekhompyutha.

Futhi hhayi ukushiywa ngaphandle, ingxenye ekhulayo ye-Intel’s 4th Gen Xeon Ukufa sekuvele kusetshenziswe ama-accelerator azinikele ekufundeni komshini, i-cryptography, ukucindezela, ukusakaza idatha, ukuhlaziya, nokuphepha.

I-Intel nayo isebenza ku-APU yayo – yize ithanda igama elithi XPU – elibizwa nge-Falcon Shores, yize lelo pulatifomu ibambezelekile kuze kube okungenani ngo-2025 kulokho osekuphenduke umkhuba womenzi we-chip ogulayo.

Ngakho-ke i-Nvidia ikude nokuphela kwe-chipmaker ekhuthaza ukusetshenziswa okwengeziwe kwama-accelerator. ®