Résumé
Serveur Inference Triton mooy plaform ubbeeku bu NVIDIA ngir dugal ay model IA ci liggéey bu yaatu. Dafa am solo ndax dafay yamale ñaata model - ci biir kaadar yu wuute - ñuy jappale, batch, ak jëfandikoo ci ginnàaw benn API bu baax.
Triton Inference Server ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi.
Plongeur bu xóot
Triton mingi toog ci digganté model yi nga tàggat ak aplikaasioŋ yi leen di woo. Dafay yab ay model ci 'depo model' ba noppi di leen jox ci HTTP/REST ak gRPC. Li gëna fës ci man-manam mooy nekkul benn kaadar: benn misaalu Triton mën na liggéey ci benn yoon PyTorch, TensorFlow, ONNX, TensorRT, ba ci Python wala backend yuñ jagleel. Mën-mën yu am solo yi bokkunaci batching dinaamik, biy boole ci saasi laaj yiy dugg ñuy jege ci waxtu ngir gëna mëna jëfandikoo GPU bi; jëfandikoo model ci benn yoon, doxal model yu bari wala ay kopi yu bari ci benn GPU; ak xeetu ensemble/scripting logique bu liggéey, biy boole liggéey bi njëkk, gis-gis bi, ak liggéey bi ci topp ci benn pipeline ci wetu serwër bi. Dafay wane jagleel yu Prometheus, jàppale xeetu model yi, ba noppi di eskale bu baax ci Kubernetes.
Gis-gis xarala
Batching dynamique mooy levier bi gëna am solo. GPU yi ñoo gëna mëna liggéey ci lots yu bari, waaye laaj yi ñuy defar dañuy ñëw benn-benn. Triton dafay tëye laaj yi ngir benn palanteer bu ndaw buñ mëna tabb (lu melni, ay milisegond yu néew), boole leen ci benn batch, def benn inference, ba noppi xaaj resultaa yi ci ku nekk ci wootekat yi. Loolu dafay yokk bu baax jëfandikoo GPU ak njëgu latency bu tuuti. Execution concurrent ak grupu instance model bu nekk dafay tax benn GPU nekk busy ci model yu bari benn yoon.
Xam Serveur Inférence Triton
Serveur Inference Triton mooy plaform ubbeeku bu NVIDIA ngir dugal ay model IA ci liggéey bu yaatu. Dafa am solo ndax dafay yamale ñaata model - ci biir kaadar yu wuute - ñuy jappale, batch, ak jëfandikoo ci ginnàaw benn API bu baax. Triton Inference Server ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi. Ngir tabax xam-xam bu xóot, jàppal Triton Inference Server 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 Triton Inference Server dañuy gëna baaxal arsitektir bi, done yi, ak tànneefi jumtukaay yi 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
Dalal xeetu gis-gis njuuj njaaj, xeetu xalaat, ak xeetu nataal ci benn serwëru GPU buñ bokk di jëfandikoo xeetu jëfandikoo
Jëfandikoo batching dynamique ngir liggéey API buy xàmmee nataal bu bari trafik suko defee ñu boole laajte yu tasaaroo yi ngir am GPU bu baax
Tabax ab ensemble ci wetu serwër biy doxal ab nataal bu njëkk, ab detektër TensorRT, ak etiketu ginaaw ab defar ci benn pipeline Triton
Dugal ab LLM ak ab backend TensorRT-LLM ci Triton ngir joxe tontu chatbot ci ay junni jëfandikukat yuy jëfandikoo benn yoon
Modèlu jëfandikoo
Triton Serveur Inférence ci jëf
Dalal ab xeetu gis-gis njuuj njaaj, ab xeetu xalaat, ak ab klassifikatëru nataal ci benn serwëru GPU buñ bokk di jëfandikoo ab model buy boole.
Hosting ab xeetu gis-gis njuuj njaaj, ab xeetu recommandation, ak ab classifier image ci benn serwër GPU buñ bokk di jëfandikoo model execution concurrent Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu kalite ci kanam, tëye yoon escalation nit ngir jafe-jafe yi, ak topp ñaari produit yi ci diir bi ak njëgu njuumte yi.
Triton Serveur Inférence ci jëf
Jëfandikoo batching dynamique ngir serwiis API buy xàmmee nataal bu bari trafic suko defee ñu boole laajte yu tasaaroo yi ngir am inference GPU bu baax.
Jëfandikoo batching dynamique ngir liggéey API bu bari trafic buy xàmmee nataal, suko defee ñu dajale ay laaj yu tasaaroo ngir GPU inference bu baax. 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.
Triton Serveur Inférence ci jëf
Tabax ab ensemble ci wetu serwër biy doxal ab nataal bu njëkk, ab detektër TensorRT, ak etiketu ginaaw ab defar ci benn pipeline Triton.
Tabax ab ensemble ci wetu serwër biy doxal preprocessing nataal, ab detector TensorRT, ak etiket postprocessing ci benn pipeline Triton Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ak topp njuréefi produit yi ak njuumte yi.
Triton Serveur Inférence ci jëf
Dugal ab LLM ak ab backend TensorRT-LLM ci Triton ngir joxe tontu chatbot ci ay junni jëfandikukat yuy jëfandikoo benn yoon.
Taxawal LLM ak TensorRT-LLM backend ci Triton ngir joxe tontu chatbot ci ay junni jëfandikukat yuy jëfandikoo Teams 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 ak njëgu njuumte ci diir bi.
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.