Cigaban Batching
Ci gaba da batching dabara ce da ke ƙarawa da cire buƙatun daga alamar batch token-by-token, maimakon jira gabaɗayan ƙayyadaddun tsari don gamawa.
Dubawa
It keeps the GPU constantly busy and sharply increases how many users an AI model can serve at once.
Zurfafa nutsewa
GPUs sun fi sauri lokacin da suke aiwatar da buƙatun da yawa tare a cikin tsari. Hanyar butulci, batching a tsaye, ƙungiyoyin kafaffen buƙatun, gudanar da su duka har zuwa ƙarshe, sannan a fara tsari na gaba. Matsalar: Samfurin samfurin harshe ya bambanta da tsayi sosai, don haka gajerun buƙatun suna ƙarewa da wuri kuma ramummuka suna zama marasa aiki yayin da tsari ke jira mafi tsayi, ɓata zagayowar GPU da jinkirta sabbin masu shigowa. Ci gaba da batching (wanda kuma ake kira a cikin jirgin sama ko matakin batching, wanda takardar Orca ta shahara kuma ana amfani da shi a cikin vLLM, TensorRT-LLM, da TGI) yana aiki da girman matakin yanke hukunci guda ɗaya. Bayan an ƙirƙiro kowane alamar, jerin abubuwan da aka gama suna fita cikin tsari kuma ana shigar da buƙatun da suka zo nan take. Wannan yana kiyaye tsari cikakke kuma GPU cikakke, galibi yana haɓaka kayan aiki sau da yawa tare da ƙarancin jinkiri don masu amfani da jira.
Fahimtar Fasaha
Maɓallin maɓalli shine daga daidaita buƙatun gabaɗayan zuwa batching na kowane ɗaiɗai. A kowane mataki mai tsara jadawalin yana gina saiti mai aiki: yana tafiyar da wucewa gaba ɗaya akan duk jeri na cikin jirgin, yana fitar da alama guda ɗaya kowanne, korar duk wanda ya buga alamar ƙarshen jerin ko iyaka, kuma yana yarda da buƙatun layi don cike wuraren da aka 'yantar. Haɗa wannan tare da ma'aunin KV na PagedAttention yana sa sakawa da cire jerin jeri a tsakiyar jirgin yana da arha, tun da ma'ajin kowane jeri yana rayuwa a cikin tubalan masu zaman kansu.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Cigaban Batching
Ci gaba da batching yanzu daidai yake a samarwa LLM hidima. Aiki na gaba yana sake daidaita mai tsara jadawalin: raba lokacin prefill-nauyi mai nauyi daga lokacin yanke hukunci mai sauƙi (rarrabuwa), prefill prefill don gujewa yanke yanke hukunci, fifiko da tsare-tsare na ayyuka masu gauraya, da ƙaƙƙarfan haɗawa tare da ƙididdige ƙima don haka ana tabbatar da daftarin alamu da yawa kowane mataki. Manufar ita ce matsi matsakaicin alamomi-da-biyu a kowane GPU yayin da ke kiyaye ƙarancin jinkirin amsawar mutum da abin iya faɗi.
Aiwatar da Gaskiyar Duniya
API ɗin taɗi yana shigar da sabbin saƙon mai amfani da aka shigo cikin rukunin aiki kai tsaye maimakon yin layi don tsari na gaba.
Korar gajeriyar amsawar da aka kammala a tsakiyar tsari tare da cika ramin sa don haka GPU ba ta daina jiran dogon zamani
Haɗa ci gaba da batching tare da vLLM's Paged Hankali don sakawa da cire jerin abubuwa cikin arha a kowane mataki
Sabis ɗin kammala lambar da ke ɗaukar manyan alamu-da biyu a ƙarƙashin fashe, zirga-zirga mai tsayi mai tsayi ta hanyar kiyaye tsari cikakke.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
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Tambayoyin da ake yawan yi
What is Continuous Batching?
Ci gaba da batching dabara ce da ke ƙarawa da cire buƙatun daga alamar batch token-by-token, maimakon jira gabaɗayan ƙayyadaddun tsari don gamawa. Yana sa GPU ta kasance cikin aiki koyaushe kuma yana ƙaruwa da yawa masu amfani da ƙirar AI za su iya yin hidima a lokaci ɗaya.
Menene babban rauni na batching (kafaffen) batching don hidimar LLM?
Saboda tsayin fitarwa ya bambanta, jerin abubuwan da aka gama suna zama marasa aiki har sai wanda ya fi jinkiri ya cika, ɓata zagayowar GPU da jinkirta sabbin buƙatun.
A wanne irin ƙwanƙwasa ke ƙarawa da cire buƙatun?
Ci gaba da batching (matakin maimaitawa) yana sabunta saiti mai aiki bayan kowane mataki na yanke lamba, don haka yana aiki da alamar-ta-ala maimakon kowace buƙatu.
Lokacin da jeri ya ƙare tsakiyar tsari ƙarƙashin ci gaba da batching, menene zai faru da ramin sa?
An fitar da jerin abubuwan da aka gama kuma ana shigar da buƙatun jira nan da nan, kiyaye tsari cikakke kuma GPU yana aiki.
Wace dabara ce ta haɗe ta halitta tare da ci gaba da batching don yin sakawa/cire jeri mai arha?
PagedAttention yana adana ma'ajin KV na kowane jeri a cikin ɓangarorin masu zaman kansu, don haka ƙara ko cire jerin tsakiyar jirgin baya damun ƙwaƙwalwar wasu.
Wace takarda bincike aka fi ba da lada tare da haɓaka matakin-ci gaba (ci gaba) batching?
Takardar Orca ta gabatar da tsarin tsarawa-matakin, kuma an karɓi ra'ayin ta tsarin sabis kamar vLLM, TGI, da TensorRT-LLM.