Résumé
Couche de contrôle biy dogal ban model replica, GPU, wala backend moo wara def bépp laaj LLM buy dugg, ak ni ñuy tasaare trafik bi suko defee benn serwër du ëpp doole. Soo ko defee bu baax, dafay wàññi latency ak njëg; buñu ko defee bu baaxul, dafay indi timeout ak GPU yu idle.
LLM Inference Routing ak Load Balancing ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor ci escalier bi.
Plongeur bu xóot
Liggéey LLM ci escalier dafay tekki ni dangay doxal ay replica yu bari ci GPU yu bari, te trafik inference bi dafa bari te wuute - laaj yi dañu wuute lool ci guddaay ak jafe-jafe. Router bi dafay toog ci kanam, tànn fi muy dem, jëfandikoo siñaal yu gëna riis round-robin bu yàgg bi. Routeur yu bees yi xam LLM dañuy xoolaat xóotaayu rang bi, bariwaayu cache KV, ak ndax replikaa bi amna prefix bu méngoo (affinite prefix-cache), kon laaj topp bi dafay wàcci fi cache bi dëkk. Yenn routeurs yi dañuy tànn model bi ñuy jëfandikoo—ñu yónnee laajte yu yomb yi ci model bu ndaw bu yomb, ñu yónnee yu jafe yi ci model bu mag (model routing). Load balancing dafay yamale pression bi ci replicas yi ngir moytu hotspots yi, sargal tolluwaayu limite yi, ba noppi tëye latency geen gi ci di yokk goodput bi ak jëfandikoo GPU bi.
Gis-gis xarala
Balancers de charge naïf dañu jàpp ni laaj yi mën nañu leen weccoo te yomb nañu dem - njuumte ci LLMs. Bépp token bu génne dafay njëg ab paas ci kanam, te cache KV bu replica bi daf koy def 'dafay kole' ci benn sesioŋ. Kon routeurs yu xarañ yi dañuy gëna mëna jëfandikoo cache yi: hashing wala session-pinning suko defee prefix biy màgg ci waxtaan wi jëfandikoowaat caabi/valeur yiñ cache ci barab bi leen di xaymaat. Dañuy jàng itam telemetry backend ci saasi (jetons yuy xaar, batch fullness) du ñuy lim ay laaj rek, ndax benn laaj bu gudd mën na ëpp yu bari yu gàtt.
Jàppale LLM ci yoon wi ak balance de charge
Couche de contrôle biy dogal ban model replica, GPU, wala backend moo wara def bépp laaj LLM buy dugg, ak ni ñuy tasaare trafik bi suko defee benn serwër du ëpp doole. Soo ko defee bu baax, dafay wàññi latency ak njëg; buñu ko defee bu baaxul, dafay indi timeout ak GPU yu idle. LLM Inference Routing ak Load Balancing ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor ci escalier bi. Ngir tabax xam-xam bu xóot, jàppal LLM Inference Routing ak Load Balancing ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ak tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo LLM Inference Routing ak Load Balancing dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Benn platform chatbot dafay pin waxtaan bu nekk ci replika bi yor cache KV, suko defee ñu topp ci cache prefix bi ba noppi tontu ci gaaw.
Sistem yu nuroo ak RouteLLM dañuy yónnee laaj yu yomb yi ci model bu yomb te duñu yokk lu jafe ci model bu frontier, wàññi njëg yi te duñu ñàkk lu bari ci kalite bi.
Kubernetes Gateway API Njàngat ci yooni yokkute ci xóotaayu raŋ GPU ak tolluwaayu cache ci barabu rond-robin bu leer ci pod yi.
LiteLLM dafay dem ak dikk ci biir __AIU_AAR_10__, __AIU_AAR_4__, ak model yiy dalal seen bopp ak fallback ak taxawaayu-xam-xam-balans su benn furnisër gaz.
Modèlu jëfandikoo
LLM Njàngat ci yoon ak sargal ci jëf
Benn platform chatbot dafay pin waxtaan bu nekk ci replika bi yor cache KV, suko defee ñu topp ci cache prefix bi ba noppi tontu ci gaaw.
Benn platform chatbot dafay pin waxtaan bu nekk ci replica bi yor cache KV, suko defee topp-topp yi dañuy dóor cache prefix bi ba noppi tontu ci anam wu gëna gaaw. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
LLM Njàngat ci yoon ak sargal ci jëf
Sistem yu nuroo ak RouteLLM dañuy yónnee laaj yu yomb yi ci model bu yomb te duñu yokk lu jafe ci model bu frontier, wàññi njëg yi te duñu ñàkk lu bari ci kalite bi.
Sistem RouteLLM-style yónnee laaj yu yomb ci benn model bu ndaw bu yomb te escalate lu jafe rek ci benn model frontier, dagg njëg ak tuuti perte kalite Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds kalite ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ak topp ñaari njuréefi produit ak e.
LLM Njàngat ci yoon ak sargal ci jëf
Kubernetes Gateway API Njàngat ci yooni yokkute ci xóotaayu raŋ GPU ak tolluwaayu cache ci barabu rond-robin bu leer ci pod yi.
Kubernetes Gateway API Inference Yooni yokkute ci xóotaayu raŋ GPU ak nekkinu cache ci barabu rond-robin bu leer ci pods yi. Ekip yi dañuy faral di am njariñ yu gëna baax suñu leeralee kalite ci kanam, tëye yoonu eskalaasioŋ nit ngir jafe-jafe yi, ba noppi topp njariñu njëg ak njuumte ci diir bi.
LLM Njàngat ci yoon ak sargal ci jëf
LiteLLM dafay dem ak dikk ci biir __AIU_AAR_10__, __AIU_AAR_4__, ak model yiy dalal seen bopp ak fallback ak taxawaayu-xam-xam-balans su benn furnisër gaz.
LiteLLM proxy yi dañuy jaar ci OpenAI, Anthropic, ak xeetu self-hosted ak fallback ak taxawaayu-xam-xam-balancing su benn furnisër gëne gëdd. ak topp njariñu liggéey bi ak njëgu njuumte yi ci diir bu gàtt.
Risk yi ak balustrade yi
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.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.