Overview
Iyo KV cache inochengeta makiyi uye inokoshesa transformer yatove computed saka haidzoreri basa kune yega tokeni nyowani - asi inogona kubharumu kune gigabytes. KV cache optimization inodzikira uye inogadzirisa iyo ndangariro kuitira kuti mamodheru ashande marefu mamiriro kune vakawanda vashandisi kamwechete.
KV Cache Optimization inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Mutransformer, chiratidzo chitsva chega chega chinotarisa kune ese apfuura makiyi kuburikidza nemakiyi ekutarisisa (K) uye kukosha (V). Kudzokorodza K uye V kutevedzana kwese padanho rega rega kungave kwequadratic uye kutambisa, saka mamodheru anoachengeta: iyo KV cache. Iyo yakaderera ihukuru. Iyo cache inokura zvakatevedzana nehurefu hwekutevedzana, saizi yebatch, maseru, uye misoro, saka chikumbiro chenguva refu-chikuru chinogona kupedza ndangariro yeGPU kupfuura iyo modhi huremu pachayo. Optimization inobata izvi kubva kumakona akati wandei: peji ndangariro (vLLM's PagedAttention) inochengetedza cache mumabhuraki asina- contiguous kubvisa kupatsanuka uye kugonesa kugovana; quantization zvitoro K uye V mu8-bit kana 4-bit; uye shanduko yezvivakwa seGrouped-Query Attention (GQA) uye Multi-Query Attention (MQA) rega misoro mizhinji yemibvunzo igovane mashoma makiyi / kukosha misoro, kutema cache saizi panzvimbo.
Technical Insight
PagedAttention inokwereta virtual-memory paging kubva kune anoshanda masisitimu: iyo cache inogara mune yakagadziriswa-saizi mabhuroki akamepurwa kuburikidza nekutarisa tafura, saka zvikumbiro zvinoshandisa chete zvivharo zvavanoda uye zvakafanana prefixes (seyakagovaniswa system kukurumidza) inogona kunongedza kumabhuroko mamwe chete. Multi-head Latent Attention (MLA), inoshandiswa muDeepSeek modhi, inomanikidza K uye V kuita diki yakagovaniswa latent vector, zvinoshamisa kucheka ndangariro uku uchichengeta chokwadi.
Kuita KV Cache Optimization
Iyo KV cache inochengeta makiyi uye inokoshesa transformer yatove computed saka haidzoreri basa kune yega tokeni nyowani - asi inogona kubharumu kune gigabytes. KV cache optimization inodzikira uye inogadzirisa iyo ndangariro kuitira kuti mamodheru ashande marefu mamiriro kune vakawanda vashandisi kamwechete. KV Cache Optimization inyanzvi yekuvaka inobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuti uvake kunzwisisa kwakadzama, bata KV Cache Optimization semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa KV Cache Optimization inogadzirisa zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
vLLM's PagedAttention inosevenzesa akawanda anoenderana nguva dzekutaura nekurongedza KV zvidhinha pasina ndangariro kupatsanurwa.
Yakaungana-Mubvunzo Kutarisisa mumhando dzeLlama inoderedza saizi yeKV cache kuitira kuti mamiriro akareba akwane mundangariro yeGPU
Kuverengera iyo KV cache kusvika ku8-bit (KV8) kuita zvishoma nepakati cache ndangariro panguva refu-gwaro pfupiso.
Prefix caching inoshandisa zvakare maKV blocks eiyo yakagovaniswa sisitimu yekukurumidza muzviuru zvezvikumbiro zveAPI.
Maitiro Ekuita
KV Cache Optimization mukuita
vLLM's PagedAttention inosevenzesa akawanda anopindirana chat zvikamu nekurongedza KV zvidhinha pasina ndangariro kupatsanurwa.
vLLM's PagedAttention inosevenzesa akawanda anoenderana nguva dzekutaura nekurongedza maKV zvidhinha pasina ndangariro kupatsanuka Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
KV Cache Optimization mukuita
Yakaungana-Mubvunzo Kutarisisa mumhando dzeLlama inoderedza saizi yeKV cache kuitira kuti mamiriro akareba akwane mundangariro yeGPU.
Boka-Mubvunzo Kutariswa mumhando dzeLlama dzinoderedza saizi yeKV cache kuitira kuti kurebesa mamiriro akakwana muGPU ndangariro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
KV Cache Optimization mukuita
Kuverengera iyo KV cache kusvika ku8-bit (KV8) kuita zvishoma nepakati cache ndangariro panguva refu-gwaro pfupiso.
Kuverengera iyo KV cache kusvika ku8-bit (KV8) kudzika nepakati cache memory panguva refu-gwaro pfupiso Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
KV Cache Optimization mukuita
Prefix caching inoshandisa zvakare KV blocks yeyakagovaniswa sisitimu yekumhanyisa muzviuru zvezvikumbiro zveAPI.
Prefix caching inoshandisa zvakare maKV blocks eiyo yakagovaniswa sisitimu inomhanyisa zviuru zvezvikumbiro zveAPI Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
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
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.