Overview
Chivakwa chinoshandira chinotsemura hombe modhi yemutauro kuita zvikamu zviviri zvakaparadzana-prefill uye decode-uye inovamhanyisa pamadziva akasiyana eGPU. Izvo zvine basa nekuti zvikamu zviviri izvi zvine zvakapesana nezvishuwo zvehardware, uye kuvamanikidza kuti vapinde mumichina imwechete kutambisa huwandu uye kukuvadza latency.
Disaggregated Prefill uye Decode Serving chivakwa chekuvaka chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Kana LLM yapindura, inoshanda mumatanho maviri. Prefill inoverenga kukurumidza kwese kamwechete uye inovaka kiyi-kukosha (KV) cache; uku kukuru, kwakafanana, kuputika-kusungwa kwekombuta kunozadza zvikamu zvemasvomhu zveGPU. Decode yobva yagadzira tokeni imwe panguva, nhanho imwe neimwe ichiverenga yese KV cache-yekuyeuka-bandwidth-yakasungwa, zvishoma-compute trickle. Mhanyai pamwe chete, refu prefill inomisa decode yemunhu wese (musoro-we-mutsara kuvharira), uye batching izvo zviviri zvinogadzira kukanganisa. Disaggregation inoisa prefill pane imwe GPU dziva uye decode pane imwe, kuendesa iyo KV cache pakati payo pamusoro inokurumidza kubatanidza seNVLink kana InfiniBand. Dziva rega rega rakarongedzerwa uye kuyerwa rakazvimiririra, kuvandudza goodput, kutsetseka muswe latency, uye kuita kuti vashandisi varove zvakasimba nguva-kusvika-yekutanga-chiratidzo uye nguva-yega-yekubuda-chiratidzo chetariro panguva imwe chete.
Technical Insight
Zvikamu zviviri izvi zvinosiyana muhombodo yavo. Prefill inogadzirisa zvese zvinokatyama tokens zvakafanana, saka FLOPs yayo inoyera nekukasira kureba uye inowedzera kunze tensor cores. Decode is autoregressive: chiratidzo chega chega chinoda pass yekumberi iyo inoverengazve yakazara KV cache kubva kuHBM, saka throughput inovharwa nendangariro bandwidth, kwete compute. Disaggregation inoshandisa izvi nekukura, batching, uye kunyange kusarudza akasiyana parallelism padziva rega rega, wozotumira iyo KV cache kubva kuvashandi veprefill kuti vatore vashandi.
Mastering Disaggregated Prefill uye Decode Serving
Chivakwa chinoshandira chinotsemura hombe modhi yemutauro kuita zvikamu zviviri zvakaparadzana-prefill uye decode-uye inovamhanyisa pamadziva akasiyana eGPU. Izvo zvine basa nekuti zvikamu zviviri izvi zvine zvakapesana nezvishuwo zvehardware, uye kuvamanikidza kuti vapinde mumichina imwechete kutambisa huwandu uye kukuvadza latency. Disaggregated Prefill uye Decode Serving chivakwa chekuvaka chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, bata Disaggregated Prefill uye Decode Kushanda semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda mhedzisiro, kujekesa fungidziro, uye patsanura izvo system inogona kuita nekuvimbika kubva kune ichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Disaggregated Prefill uye Decode Serving inogonesa 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
Mubatsiri wechat anoendesa gwaro refu richienda kune compute-inorema prefill cluster, ipapo nzizi mhinduro kubva mu memory-optimized decode cluster kuti kutaipa kurambe kwakapfava.
NVIDIA Dynamo uye vLLM regai vashandisi vatumire zvakaparadzana prefill uye decode mapoka evashandi kuitira kuti kuputika kwekureba kurege kuomesa zvizvarwa zvirikuenderera mberi.
Mooncake (inoshandiswa neMoonshot AI's Kimi) inopatsanura prefill uye decode uye inowedzera yakagoverwa yeKV-cache dziva kucheka kukurumidza kudzokororwa pachiyero.
Iyo kodhi-yekupedzisa sevhisi inotsaurira diki prefill dziva rekukurumidza kukurumidza uye hombe decode dziva, sezvo mari zhinji inobva mukutepfenyura akawanda anobuda tokeni.
Maitiro Ekuita
Disaggregated Prefill uye Decode Kushanda mukuita
Mubatsiri wechat anoendesa gwaro refu richienda kune compute-inorema prefill cluster, ipapo nzizi mhinduro kubva mu memory-optimized decode cluster kuti kutaipa kurambe kwakapfava.
Mubatsiri wekutaura anofambisa gwaro refu anoendesa kune compute-inorema prefill cluster, ipapo nzizi dzinopindura kubva mundangariro-yakagadziridzwa decode cluster kuti irambe ichitaipa latency yakatsetseka Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Disaggregated Prefill uye Decode Kushanda mukuita
NVIDIA Dynamo uye vLLM regai vashandisi vatumire zvakaparadzana prefill uye decode mapoka evashandi kuitira kuti kuputika kwekureba kurege kuomesa zvizvarwa zvirikuenderera mberi.
NVIDIA Dynamo nevLLM regai vashandisi vatumire akaparadzana prefill uye decode mapoka evashandi kuitira kuti kuputika kwenguva refu kurege kuomesa zvizvarwa zvirikuenderera Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Disaggregated Prefill uye Decode Kushanda mukuita
Mooncake (inoshandiswa neMoonshot AI's Kimi) inopatsanura prefill uye decode uye inowedzera yakagoverwa yeKV-cache dziva kucheka kukurumidza kudzokororwa pachiyero.
Mooncake (inoshandiswa neMoonshot AI's Kimi) inopatsanura prefill uye decode uye inowedzera yakagoverwa KV-cache dziva kucheka kukurumidza kudzokororwa pachiyero Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa mumutengo wenguva.
Disaggregated Prefill uye Decode Kushanda mukuita
Iyo kodhi-yekupedzisa sevhisi inotsaurira diki prefill dziva rekukurumidza kukurumidza uye hombe decode dziva, sezvo mari zhinji inobva mukutepfenyura akawanda anobuda tokeni.
Iyo kodhi-yekupedzisa sevhisi inotsaurira diki prefill dziva rekukurumidza kukurumidza uye hombe decode dziva, sezvo mari zhinji inobva mukutepfenyura akawanda anobuda tokens Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, 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.