GUIDE teknik
KV Cache Optimisation
Cache KV dafay denc caabi yi ak valeur yi transformateur bi jota xayma, moo tax du delloo liggéey ci token bu bees bu nekk - waaye mën na balloon ba gigabytes.
Déglul tegtal biiIA-nettali · ~2 min
Ci xët wii2 simili jàng
Résumé
KV cache optimization shrinks and manages that memory so models serve longer contexts to more users at once.
Plongeur bu xóot
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.
Doxal ci àdduna dëgg
vLLM's PagedAttention serving many concurrent chat sessions by packing KV blocks while reducing memory fragmentation
Grouped-Query Fexe ci xeetu Llama wàññi dayo cache KV suko defee contexte yu gëna gudd mëna méngoo ak mémoire GPU
Kantite cache KV ci 8-bit (KV8) ngir xaaj mémoire cache bi ci diiru résumé dokimaa yu gudd
Cache prefix biy jëfandikoowaat bloku KV yi ci benn sistem buñ bokk laaj ci ay junni laaj API
Ëlëgu KV Cache Optimisation
Ginaaw palanteer yi dañuy dem ba yegg ci téemeeri junni wala milioŋ ciy token, cache KV dafay nekk njëgu liggéey bi gëna am solo. Xaarandil compression cache bu metti ak dàq (dagg token yu néew), séddoo prefix cross-request ni default, dindi cache bu sedd ci CPU wala NVMe, ak architecture yu melni MLA ak GQA nekk standard. Doxalal cache bi dafay gëna niroo ak hierarchie mémoire bu mat sëkk ak ay niveau ak prefetching yu xarañ.
Teg ko ci jëf
Lu tax mu am solo
- Njëgg ak budget. Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
- dogal yu gëna leer. Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
- Xool kalite. Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Moytul
- Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
- Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
- Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Jéego yi ci topp
- Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
- Benchmark ci biir sargal ak done yu dëggu.
- Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
- Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the KV Cache Optimization quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is KV Cache Optimization?
Cache KV dafay denc caabi yi ak valeur yi transformateur bi jota xayma, moo tax du delloo liggéey ci token bu bees bu nekk - waaye mën na balloon ba gigabytes. KV cache optimisation dafay wàññi ba noppi yor memory bi suko defee model yi di mëna jëfandikoo contexte yu gëna gudd ngir jëfandikukat yu bari benn yoon.
Luy denc ci cache KV te lu tax?
Cache caabi ak valeur yu bawoo ci token yu njëkk yi dafay moytu defaraat calcul attention ci token bu bees bu nekk, di sakkanal jotu liggéey.
Lu tax cache KV mën nekk jafe-jafe mémoire?
Dayo cache bi dafay méngoo ak guddaayi contexte bi ak concurrence bi, kon laaj yu gudd yi mën nañu jëfandikoo mémoire GPU bu bari.
Ban konsepti sistem jëfandikoo la PageAttention lebal?
PagedAttention dafay denc cache bi ci ay blok yu am dayo bu fiks bu nekk ci biir benn tablo, melni paging OS.
naka lay def ba Laajte yuñ boole ak Laajte yu bari di wàññi dayo cache KV?
Séddoo boppu caabi/valeur ci boppu laaj yu bari dafay tekki ni vecteur K ak V yu néew lañu wara denc.
Lan mooy benn ci njariñu séddoo prefix ci cache KV?
Benn sistem buñ bokk dafay defar ay duggal KV yu nuróo, suko defee laaj yu bari mën nañu joxoñ benn blok bi, duñu leen di ñaari yoon.
Weyal di jàng
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