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KV Cache (Kachengeta KV)
Mutauro AI
Nhungamiro yehunyanzvi
Kuvandudzwa kweKV Cache
Iyo KV cache inochengeta makiyi uye inokoshesa transformer yatove computed saka haidzoreri basa kune yega tokeni nyowani - asi inogona kubharumu kune gigabytes.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
KV cache optimization inodzikira uye inogadzirisa iyo ndangariro kuitira kuti mamodheru ashande marefu mamiriro kune vakawanda vashandisi kamwechete.
Kudzika Kwakadzika
In a transformer, each new token attends to all previous tokens via attention's keys (K) and values (V). Recomputing K and V for the whole sequence at every step would be quadratic and wasteful, so models cache them: the KV cache. The downside is size. The cache grows linearly with sequence length, batch size, layers, and heads, so a long-context request can consume more GPU memory than the model weights themselves. Optimization tackles this from several angles: paged memory (vLLM's PagedAttention) stores the cache in non-contiguous blocks to reduce fragmentation and enable sharing; quantization stores K and V in 8-bit or 4-bit; and architectural changes like Grouped-Query Attention (GQA) and Multi-Query Attention (MQA) let many query heads share fewer key/value heads, slashing cache size at the source.
Kuitwa muNyika yeChokwadi
vLLM's PagedAttention serving many concurrent chat sessions by packing KV blocks while reducing memory fragmentation
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.
Ramangwana reKV Cache Optimization
Sezvo mahwindo emukati anotambanudzira kumazana ezviuru kana mamirioni ezviratidzo, iyo KV cache inova iyo yakanyanya mutengo wekushandira. Tarisira kudzvinyirira cache uye kudzingwa (kudonhedza-yakaderera-kutarisisa tokeni), muchinjika-chikumbiro prefix kugovera seyakagadzika, kuburitsa inotonhora cache kuCPU kana NVMe, uye zvivakwa zvakaita seMLA neGQA zvichiva zvakajairika. Cache manejimendi ichawedzera kufanana neyakazara ndangariro hierarchy ine tiers uye smart prefetching.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
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Chenjera
- 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.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
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Take the KV Cache Optimization quiz
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Mibvunzo inowanzo bvunzwa
Chii chinonzi 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.
Ko KV cache inochengeterei uye nei?
Caching makiyi uye kukosha kubva kune ekutanga tokens inodzivirira kudzoreredza kutarisisa komputa pane yega tokeni nyowani, kuchengetedza nguva.
Sei iyo KV cache ichigona kuve dambudziko rekurangarira?
Cache saizi zviyero zvine hurefu hwemamiriro uye concurrency, saka zvikumbiro zvenguva refu zvinogona kushandisa yakakura kwazvo yeGPU ndangariro.
Ndeipi inoshanda-system pfungwa inokwereta PagedAttention?
PagedAttention inochengetedza cache mune isina-inobatika-yakagadziriswa-saizi mabhuroki akamepurwa netafura, senge OS paging.
Ko Grouped-Query uye Multi-Query Attention inoderedza sei KV cache size?
Kugovera kiyi / kukosha misoro pamisoro yemibvunzo yakawanda kunoreva kushomeka kweK uye V mavheji ekuchengeta.
Ndeipi imwe bhenefiti yekugovera prefix muKV cache?
Iyo yakagovaniswa sisitimu yekumhanyisa inoburitsa yakafanana KV zvinyorwa, saka zvikumbiro zvakawanda zvinogona kunongedza kumabhuroko mamwe chete pane kuzvidzokorora.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi