Nhungamiro yehunyanzvi

Continuous Batching

Kuenderera mberi batching inzira yekushandira iyo inowedzera uye inobvisa zvikumbiro kubva kune inomhanya batch chiratidzo-ne-chiratidzo, pane kumirira batch yakazara yakatarwa kuti ipedze.

2 min verengaLast update

Pfupiso

It keeps the GPU constantly busy and sharply increases how many users an AI model can serve at once.

Kudzika Kwakadzika

MaGPU anokurumidza kukurumidza kana vachigadzira zvikumbiro zvakawanda pamwechete mubatch. Nzira yekusaziva, static batching, mapoka akagadziriswa seti yezvikumbiro, anomhanyisa zvese kusvika pakupedzwa, obva atanga batch rinotevera. Dambudziko: mabudiro emhando yemutauro anosiyana zvakanyanya pakureba, saka zvikumbiro zvipfupi zvinopera nekukurumidza uye nzvimbo dzadzo dzinogara dzisina basa apo batch yakamirira iyo yakareba, kutambisa maGPU uye kunonoka vanosvika. Kuenderera mberi batching (inonziwo in-ndege kana iteration-level batching, inofarirwa nebepa reOrca uye inoshandiswa muvLLM, TensorRT-LLM, uye TGI) inoshanda pakukura kwenhanho imwe yekudhikodha. Mushure mekunge chiratidzo chega chega chagadzirwa, kutevedzana kwapera kunobuda mubatch uye zvikumbiro zvichangosvika zvinoiswa mukati nekukasira. Izvi zvinoita kuti batch rive rizere uye iyo GPU yakazara, kazhinji inowedzera kuburitsa kakawanda nepamusoro latency yevashandisi vakamirira.

Technical Insight

Iyo yakakosha shanduko kubva pakuunganidza zvikumbiro zvese kuenda ku batching yega iterations. Pane yega yega decode nhanho mugadziri anovaka iyo inoshanda seti: inomhanyisa imwe yekuenda mberi pamusoro pese-mundege kutevedzana, inoburitsa chiratidzo chimwe nechimwe, inodzinga chero inorova yekupedzisira-ye-kutevedzana tokeni kana kureba, uye inobvuma zvikumbiro zvakamisikidzwa kuzadza yakasunungurwa slots. Kubatanidza izvi nePagedAttention's flexible KV ndangariro kunoita kuti kuisa nekubvisa kutevedzana kwepakati-ndege zvakachipa, sezvo cache yega yega inoteedzana inogara mumabhuraki akazvimirira.

Strategic Impact

Mutengo uye bhajeti

Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.

Sarudzo dzakajeka

Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.

Kudzora kwemhando yepamusoro

Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.

Ramangwana Rokuenderera mberi Batching

Kuenderera mberi batching ikozvino yakajairika mukugadzira LLM inoshumira. Basa remangwana rinonatsa mugadziri: kupatsanura iyo compute-inorema prefill chikamu kubva kune yakareruka decode chikamu (disaggregation), chunked prefill kudzivirira kudzikama decoding, pamberi uye kururamisira marongero emabasa akasanganiswa, uye kubatana kwakasimba nekufungidzira decoding kuitira kuti akawanda dhizaini tokeni anosimbiswa padanho. Chinangwa ndechekudzvanya ma tokens-per-sekondi paGPU uku uchichengeta mhinduro yemunhu yakaderera uye inofungidzira.

Real-World Implementation

A chat API inobvuma mameseji emushandisi achangosvika mubatch inomhanya ipapo pane kuvaisa mumutsara kune inotevera batch.

Kudzinga mhinduro pfupi yakapera yepakati-batch uye kudzosera slot yayo kuitira kuti GPU isambomira yakamirira pachizvarwa chakareba.

Kubatanidza kuenderera mberi batching nevLLM's PagedAttention kuisa uye kubvisa kutevedzana zvakachipa pane yega yega decode nhanho.

Iyo kodhi-yekupedzisa sevhisi inosimudzira ma tokens-per-sekondi pasi pekuputika, kusiyanisa-kureba traffic nekuchengeta batch yakazara.

Njodzi & Guardrails

Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.

Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.

Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.

Implementation Roadmap

1

Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.

2

Benchmark pasi pechokwadi mutoro uye data mamiriro.

3

Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.

4

Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.

Ramba Uchiongorora

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What is Continuous Batching?

Kuenderera mberi batching inzira yekushandira iyo inowedzera uye inobvisa zvikumbiro kubva kune inomhanya batch chiratidzo-ne-chiratidzo, pane kumirira batch yakazara yakatarwa kuti ipedze. Inoita kuti GPU igare yakabatikana uye inowedzera zvakanyanya kuti vangani vashandisi veAI modhi vanogona kushanda kamwechete.

Ndeipi kushaya simba kukuru kweiyo static (yakagadziriswa) batching yeLLM inoshumira?

Nekuti kureba kwekubuda kunosiyana, kutevedzana kwapera kunogara kusingaite kusvika iyo inononoka yapedza, kutambisa maGPU kutenderera uye kunonoka zvikumbiro zvitsva.

Ndeipi granularity iyo kuenderera mberi batching kunowedzera nekubvisa zvikumbiro?

Inoenderera (iteration-level) batching inogadziridza iyo inoshanda seti mushure mega ega decode nhanho, saka inoshanda tokeni-ne-chiratidzo pane pese chikumbiro.

Kana nhevedzano yapera yepakati-batch pasi pekuenderera mberi batch, chii chinoitika kune yayo slot?

Kupedzwa kutevedzana kunodzingwa uye zvikumbiro zvekumirira zvinoiswa mukati nekukasira, kuchengetedza batch rakazara uye GPU yakabatikana.

Ndeipi nzira inoenderana neyakajairwa neinoenderera batching kuita kuisa / kubvisa kutevedzana kwakachipa?

PagedAttention inochengeta yega yega yeKV cache mumabhururu akazvimiririra, saka kuwedzera kana kubvisa kutevedzana kwepakati-ndege hakukanganise ndangariro dzevamwe.

Nderipi bepa rekutsvagisa rinowanzo kurumbidzwa nekufarisa iteration-level (inoenderera) batching?

Iyo Orca bepa yakaunza iteration-level kuronga, uye zano rakatorwa nekushandira masisitimu akaita sevLLM, TGI, uye TensorRT-LLM.