OkulandelayoUmhlahlandlela olandelayo
Estimating GPU Memory Needed for LLMs
Ubuchwepheshe
UMHLAHLANDLELA Wobuchwepheshe
High Bandwidth Memory
I-High Bandwidth Memory (HBM) iyimemori estakiwe ebekwe eduze kwe-GPU eletha idatha ngokushesha kakhulu kune-RAM evamile.
Kuleli khasi2 amaminithi ukufunda
Uhlolojikelele
It is what keeps AI accelerators fed, preventing the powerful compute cores from sitting idle while they wait for model weights and data.
I-Deep Dive
I-HBM ixazulula ibhodlela eliyisisekelo: ama-AI chips angenza izigidigidi zokusebenza ngomzuzwana, kodwa kuphela uma idatha ifika ngokushesha ngokwanele. Inkumbulo evamile ye-GDDR ixhuma phezu kwebhasi elincane uma kuqhathaniswa, kuyilapho i-HBM inqwabelanisa i-DRAM eminingi ifa iqonde futhi iwaxhumanise nezinkulungwane zezintambo eziqondile ezimile ezibizwa ngokuthi nge-silicon vias (TSVs). Lezi zitaki zihlala kumamilimitha e-silicon interposer ukusuka ku-GPU, enikeza indlela yedatha ebanzi kakhulu, cabanga izinkulungwane zamabhithi ngesikhathi esisodwa esikhundleni samakhulu. Umphumela uba umkhawulokudonsa olinganiswa ngama-terabytes ngomzuzwana. Izizukulwane zithuthukile zisuka ku-HBM2 zaya ku-HBM2e, HBM3, ne-HBM3e, ngayinye ikhuphula kokubili umthamo nesivinini. Kumamodeli olimi amakhulu, izisindo zazo okufanele zisakazwe njalo, umthamo we-HBM kanye nomkhawulokudonsa kuvame ukubaluleka ngaphezu kokubala okungavuthiwe.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa Lenkumbulo Yomkhawulokudonsa Ophakeme
I-Memory bandwidth manje isiyisithiyo esihamba phambili ku-AI, ngakho-ke i-HBM ithuthuka ngokushesha. I-HBM3e ithumela ngezisheshisi ezihamba phambili, i-HBM4 emkhathizwe ithembisa ukuxhumana okubanzi, izitaki ezinde, nomthamo owengeziwe wephakheji ngayinye. Lindela idizayini eseduze phakathi kwenkumbulo nokunengqondo, okungenzeka ukuthi isisekelo sangokwezifiso siyafa futhi sicutshungulwe eduze-nenkumbulo, kanye nokuncintisana okuqinile phakathi kwabahlinzeki abafana no-SK hynix, Samsung, neMicron. Njengoba amamodeli ekhula, ukusondela kwedatha eyengeziwe ekubalweni, ngokushesha nangamandla aphansi, kuhlala kuphakathi nenqubekelaphambili yehadiwe ye-AI.
Ukuqaliswa Komhlaba Wangempela
Ukubamba amashumi noma amakhulu amagigabhayithi ezisindo kumodeli yolimi enkulu eduze ne-GPU ukuze isakazwe phakathi nesinyathelo ngasinye sokunquma.
Inika amandla i-NVIDIA H100 kanye ne-H200 yedathacenter ye-GPU ukuze ifinyelele ama-terabyte amaningi ngesekhondi yomkhawulokudonsa wenkumbulo ukuze aqeqeshwe.
Inika amandla amaqoqo okuqeqeshwa kwe-AI lapho ama-GPU amaningi ngalinye lithembele ku-HBM ukuze agweme ukuma phakathi kokusebenza kwe-matrix.
Isekela amamodeli akhiqizayo anokulungiswa okuphezulu kwesithombe namamodeli wevidiyo okufanele asuse ama-tensor amakhulu okuvula futhi awakhiphe enkumbulweni ngokushesha.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Imibuzo evame ukubuzwa
What is High Bandwidth Memory?
I-High Bandwidth Memory (HBM) iyimemori estakiwe ebekwe eduze kwe-GPU eletha idatha ngokushesha kakhulu kune-RAM evamile. Yilokho okugcina ama-accelerator e-AI ondlekile, okuvimbela amakhompiyutha anamandla ukuthi angahlali angenzi lutho ngenkathi elinde izisindo zemodeli nedatha.
Iyiphi inkinga eyinhloko ikheli le-High Bandwidth Memory yama-accelerator e-AI?
Ama-chips e-AI angenza izigidigidi zokusebenza ngomzuzwana kuphela uma idatha ifika ngokushesha ngokwanele; I-HBM ihlinzeka ngomkhawulokudonsa ukuze ama-cores angalambi.
I-HBM yakhiwe kanjani ngokomzimba ngokwehlukile kumemori evamile ye-GDDR?
Izitaki ze-HBM i-DRAM ifa phezu kwesinye futhi iwaxhumanise nezinkulungwane zezintambo eziqondile (ama-TSV), okudala indlela yedatha ebanzi kakhulu.
Yini i-HBM ethembele kuyo ikakhulukazi ukuze ifinyelele umkhawulokudonsa wayo ophezulu?
Kunokuba iwashi ngokushesha, i-HBM iveza isixhumi esibonakalayo esibanzi kakhulu (amabhithi angu-1024 isitaki ngasinye nangaphezulu) amabhayithi amaningi kangaka ahamba kanyekanye.
Kungani izitaki ze-HBM zibekwe ku-silicon interposer eduze kwe-GPU?
Izintambo ezimfishane ku-interposer okwabelwana ngazo zehlisa amandla adingekayo ngebhithi ngalinye elidlulisiwe futhi zinciphisa ukubambezeleka phakathi kwenkumbulo nokubala.
Kumamodeli ezilimi amakhulu ngokukhethekile, kungani i-HBM ingabaluleka kakhulu njengokuhlanganisa okuluhlaza?
Okucatshangwayo kwe-LLM ngokuqhubekayo kusakaza ama-matrics amakhulu esisindo, ngakho umthamo wememori nomkhawulokudonsa kuvame ukuba yisici esikhawulelayo kunokuba ubale umthamo.
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