Mutauro AI GUIDE

KV Cache

Iyo KV cache inochengetedza kiyi uye kukosha mavector shanduri yakatoverengera kune yakapfuura tokens, saka haifanirwe kuvadzokorodza kune yega yega izwi idzva raanogadzira.

Overview

Iyo KV cache inochengetedza kiyi uye kukosha mavector shanduri yakatoverengera kune yakapfuura tokens, saka haifanirwe kuvadzokorodza kune yega yega izwi idzva raanogadzira. Ndicho chikonzero chimwe chete chikuru chikonzero chizvarwa chemavara chinokurumidza - uye chinhu chikuru chiri kudya ndangariro yako yeGPU panguva yehurukuro refu.

KV Cache chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.

Deep Dive

Transformers inogadzira mavara tokeni imwe panguva, uye imwe neimwe itsva tokeni yekutarisisa inofanirwa kuenzaniswa neyakatangira tokeni. Iyo yekutarisisa meshini inoshandura chiratidzo chega chega kuita mubvunzo, kiyi, uye kukosha vector. Pasina caching, kugadzira nhamba yechiratidzo 1,000 zvinoreva kudzoreredza makiyi uye kukosha kune ese 999 ekutanga tokens padanho rega rega - quadratic, kutambisa basa. Iyo KV cache inochengetedza aya makiyi uye anokoshesa mavheji mushure mekunge atanga kuverengerwa uye kuashandisa zvakare, saka nhanho yega yega nyowani inongoverengera mavheji eiyo imwe nyowani tokeni uye inopinda pamusoro peyakachengetwa cache. Izvi zvinoderedza mutengo we-tokeni kubva pakuyera nehurefu hwekutevedzana kusvika pakungogara. Kutengeserana-yekuyeuka: iyo cache inokura zvakatevedzana nehurefu hwemamiriro, huwandu hwematanho, uye misoro yekutarisisa, kazhinji ichive inotungamira ndangariro mutengi mukureba-mamiriro ekushandira.

Technical Insight

Munguva ye 'prefill' chikamu modhi inobata kukurumidza kwese uye inozadza cache; panguva ye 'decode' inoisa imwe tokeni yeK/V padanho uye inodzokorora. Cache saizi zviyero se 2 (K uye V) × zvidimbu × misoro × musoro_dim × sequence_length × batch, mune yakasarudzwa chaiyo. Kugadzirisa izvi, mamodheru emazuva ano anoshandisa akaungana-mubvunzo kana akawanda-mubvunzo kutarisa kugovera makiyi / hunhu pamisoro yese, uye masevhisi masisitimu akaita sevLLM anoshandisa PagedAttention kugovera cache mumabhuraki asina- contiguous, kucheka kupatsanuka uye marara.

Kubata KV Cache

Iyo KV cache inochengetedza kiyi uye kukosha mavector shanduri yakatoverengera kune yakapfuura tokens, saka haifanirwe kuvadzokorodza kune yega yega izwi idzva raanogadzira. Ndicho chikonzero chimwe chete chikuru chikonzero chizvarwa chemavara chinokurumidza - uye chinhu chikuru chiri kudya ndangariro yako yeGPU panguva yehurukuro refu. KV Cache chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuti uvake kunzwisisa kwakadzama, bata KV Cache semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa KV Cache dhizaini zvinokurudzira, kudzoreredza, uye kuongorora zvishwe seimwe yakabatanidzwa yekutaurirana system. 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.

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Panguva imwecheteyo, chokwadi cheHallucified chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana kutsvagisa zvinobuda. 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

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.

Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.

Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Ramangwana reKV Cache

Sezvo mahwindo emukati anotambanudzira mumazana ezviuru zvezviratidzo, iyo KV cache inova iyo yepakati bhodhoro, saka hutsva hunotyisa: cache quantization kune 8 kana 4 bits, mitemo yekudzinga inodonhedza yakaderera-yakakosha tokens, kuyambuka-chikumbiro prefix kugovera, uye kurodha kuCPU kana diski. Architectural shifts senge multi-head latent attention inomanikidza cache pachayo. Tarisira kuenderera mberi dhizaini yekutarisisa akasiyana uye ndangariro masisitimu ane chinangwa chekushandira akareba mamiriro akachipa uye nepamusoro pekupinda.

Real-World Implementation

Kumhanyisa mhinduro dzechatbot nekushandisa zvakare makiyi akavharirwa / kukosha kubva munhoroondo yehurukuro pane kuidzokororazve.

Prefix caching inogovera cache yenguva refu yekukurumidza kune vakawanda vashandisi, kucheka mutengo uye latency.

vLLM's PagedAttention inobata KV cache mumabhuroko kuti ishumire zvikumbiro zvakawanda panguva imwe chete pane imwe GPU zvakanaka.

Kuverengera iyo KV cache kudzikisa iko kurongeka kuti ikwane kureba mamiriro mune shoma GPU ndangariro.

Maitiro Ekuita

KV Cache mukuita

Kumhanyisa mhinduro dzechatbot nekushandisa zvakare makiyi akavharirwa / kukosha kubva munhoroondo yehurukuro pane kuidzokororazve.

Kumhanyisa mhinduro dzechatbot nekushandisa zvakare makiyi akavharidzirwa kubva munhoroondo yekukurukurirana pachinzvimbo chekuchidzokororazve kutendeuka kwega kwega Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

KV Cache mukuita

Prefix caching inogovera cache yenguva refu yekukurumidza kune vakawanda vashandisi, kucheka mutengo uye latency.

Prefix caching iyo inogovera cache yenguva refu yekukurumidza kune vashandisi vazhinji, yekucheka mutengo uye latency Matimu anowanzo kuwana mhedzisiro iri nani paanotsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

KV Cache mukuita

vLLM's PagedAttention inobata KV cache mumabhuroko kuti ishumire zvikumbiro zvakawanda panguva imwe chete pane imwe GPU zvakanaka.

vLLM's PagedAttention inobata KV cache mumabhuroko kuti ishumire zvikumbiro zvakawanda panguva imwe chete paGPU imwe chete nemaTimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mabinduru emhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

KV Cache mukuita

Kuverengera iyo KV cache kudzikisa iko kurongeka kuti ikwane kureba mamiriro mune shoma GPU ndangariro.

Kuverengera iyo KV cache kudzikisa chaiyo kuti ikwane kureba mukati meiyo shoma GPU yekurangarira 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

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Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.

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Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.

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Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Implementation Roadmap

1

Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.

Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

2

Mhinduro dzepasi neakavimbika masosi pese pazvine basa.

Mhinduro dzepasi neakavimbika masosi pese pazvine basa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

3

Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.

Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

4

Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

Ramba Uchiongorora