Ukulandelana Ukuhambisana Nokunakwa Kwendandatho
Ukuhambisana kokulandelana kuhlukanisa ukulandelana okokufaka okukodwa okude kuma-GPU amaningi eduze kobukhulu bethokheni (isikhathi), futhi Ukunakwa Kweringizi kuvumela lawo ma-GPU ukuthi ahlanganise ukunaka okunembile ngokudlula amabhulokhi okhiye/inani azungeze indandatho.
Uhlolojikelele
Together they make million-token context windows feasible without any single GPU holding the whole sequence.
I-Deep Dive
Ukunaka okujwayelekile kudinga wonke umbuzo ukuze kubone wonke ukhiye/inani, ngakho-ke inkumbulo yokwenza kusebenze ikhula ngobude bokulandelana futhi i-K/V egcwele kufanele ibe khona. Ukulandelana okuhambisanayo kunqamula ukulandelana ukuze i-GPU ngayinye ibe nengxenye ehlanganayo yamathokheni (kanye nemibuzo yawo, okhiye, amanani). I-Ring Attention bese ihlela ama-GPU ngendandatho enengqondo: idivayisi ngayinye igcina imibuzo yasendaweni ilungisiwe kuyilapho amabhulokhi e-K/V edluliswa i-hop-by-hop ezungeze iringi. Njengoba ibhulokhi ngayinye ifika, i-GPU ihlanganisa ukunakwa okuncane futhi iqongelela imiphumela isebenzisa i-inthanethi-softmax (iqhinga elifanayo elisebenzayo le-max/sum njenge-FlashAttention). Ngemva kokuvala i-loop egcwele, yonke imibuzo iqondise kuwo wonke ukhiye, ngaphandle kwe-GPU eke yagcina yonke i-K/V. Okubaluleke kakhulu, ukuxhumana kwe-K/V kugqagqana nokubala, ngakho kwengeza izindleko ezincane zewashi.
I-Technical Insight
I-Ring Attention incike ku-softmax eku-inthanethi: ukunaka kungenziwa ngekhompyutha ibhulokhi ngayinye ngenkathi kugcinwa ubuningi obusebenzayo kanye ne-normalizer esebenzayo, bese kuncishiswa izibalo eziyingxenye yangaphambili lapho inani elikhulu livela. Lokhu kwenza umphumela ufane ngokwezibalo nokunaka okugcwele. Iringi idlula ama-tensor e-K/V kuphela (izikali zosayizi ngebhulokhi, hhayi ukulandelana okugcwele), futhi ngenxa yokuthi ukuxhumana kwe-hop ngakunye kweqa i-matmul yebhulokhi yangaphambili, umkhawulokudonsa - hhayi inkumbulo - iba isici esikhawulelayo.
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 Lokulandelana Ukufana Nokunakwa Kwendandatho
Ukuhambisana kokulandelana sekuba indinganiso yokuqeqeshwa komongo omude kanye nencazelo, ngokuvamile ehlanganiswa ne-tensor kanye nokufana kwepayipi ku-'4D' noma '5D' izakhiwo ezihambisanayo. Okuhlukile okufana nokunaka okunemigqa noma okumazombezombe kulinganisa kabusha umsebenzi obangelwe ukufihla imbangela. Lindela izindandatho eziqaphela i-topology nge-NVLink kanye nokuhlanganiswa okuqinile nokulayishwa kwenqolobane ye-KV, kuphushe ubude bomongo osebenzayo bufinyelele emashumini ezigidi zamathokheni ukuze abuyiswe, izisekelo zekhodi, nemibhalo emide.
Ukuqaliswa Komhlaba Wangempela
Ukuqeqesha i-LLM yomongo wethokheni engu-1M ngokwabelana ngokulandelana ngakunye kuwo wonke ama-GPU ayi-8 nge-Ring Attention
Ukuhambisana kokulandelana kwe-Megatron-LM kunciphisa inkumbulo yokusebenzisa ku-LayerNorm nasezifundeni eziyeka ukuphuma
Icubungula yonke incwadi noma inqolobane yekhodi enkulu ngephasi eyodwa eya phambili ngaphandle kokuncishiswa
Ukuhlanganisa Ukunaka Kwendandatho nokufana kwe-tensor ukuze kulingane ne-ultra-long-long-context inference ku-multi-GPU node
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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Umhlahlandlela olandelayo
I-Tensor Parallelism yamamodeli amakhulu
Imibuzo evame ukubuzwa
What is Sequence Parallelism and Ring Attention?
Ukuhambisana kokulandelana kuhlukanisa ukulandelana okokufaka okukodwa okude kuma-GPU amaningi eduze kobukhulu bethokheni (isikhathi), futhi Ukunakwa Kweringizi kuvumela lawo ma-GPU ukuthi ahlanganise ukunaka okunembile ngokudlula amabhulokhi okhiye/inani azungeze indandatho. Ngokuhlangene benza umongo wamathokheni ayisigidi windows nokwenzeka ngaphandle kwe-GPU eyodwa ebambe ukulandelana okuphelele.
Ukufana kokulandelana kwehlukanisa idatha ngakubuphi ubukhulu?
Ukulandelana kwe-parallelism kushaqa ukulandelana okukodwa kuwo wonke ama-GPU eduze kwe-eksisi yethokheni/yesikhathi, ngakho idivayisi ngayinye inomnikazi wengxenye ehlangene yamathokheni.
I-Ring Attention idlula ini phakathi kwama-GPU ahlelwe ngendandatho?
I-GPU ngayinye igcina imibuzo yayo yasendaweni ilungisiwe futhi idlula ukhiye/inani ivimba i-hop-by-hop eduze neringi ukuze yonke imibuzo igcine ibona wonke ukhiye.
Iyiphi inqubo evumela ukunaka kubalwe ibhulokhi ngebhulokhi futhi kuhambisane nokunaka okugcwele ncamashi?
I-softmax eku-inthanethi ilandelela ubuningi obusebenzayo kanye nesamba, inciphisa imiphumela eyingxenye njengoba kudingeka, okwenza ukubala okuhlakaniphile kwebhulokhi kufane ngezinombolo nokunaka okugcwele.
Kungani i-Ring Attention ingadingi noma iyiphi i-GPU eyodwa ukuze igcine i-K/V ephelele?
Ngenxa yokuthi amabhulokhi e-K/V afika ngokwandayo futhi i-GPU ngayinye iqongelela ukunakwa kancane, ayikho idivayisi eke idinge wonke ukhiye/inani elisethwe kumemori ngesikhathi esisodwa.
I-Ring Attention ikugcina kanjani ukuxhumana kungabuzi isikhathi sokusebenza?
Ukuxhumana ngakunye kwe-hop kwe-K/V kweqa nokuphindaphindeka kwe-matrix yebhulokhi yamanje, ngakho isikhathi sokudlulisa sifihlwe kakhulu ngemuva kwekhompyutha.