Dubawa
Triton Inference Server shine tushen tushen tushen NVIDIA don turawa da kuma hidimar samfuran AI a cikin samarwa a sikelin. Yana da mahimmanci saboda yana daidaita nau'ikan samfura nawa - a ƙetare sassa daban-daban - waɗanda aka gudanar da su, an daidaita su, da samun dama ga API mai inganci guda ɗaya.
Triton Inference Server tubalin ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli.
Zurfafa nutsewa
Triton yana zaune tsakanin samfuran da aka horar da ku da aikace-aikacen da ke kiran su. Yana loda samfura daga 'majiya mai ƙira' kuma yana yi musu hidima akan HTTP/REST da gRPC. Babban fasalinsa shine tsarin tsarin-agnostic: misalin Triton guda ɗaya na iya aiki tare da PyTorch, TensorFlow, ONNX, TensorRT, har ma da Python ko na baya na al'ada. Ƙarfin maɓalli sun haɗa da batching mai ƙarfi, wanda ke haɗa buƙatun masu shigowa da ke zuwa kusa da lokaci don amfani da GPU da inganci; kisa samfurin lokaci guda, gudanar da ƙira da yawa ko kwafi da yawa akan GPU ɗaya; da samfurin ensembles/rubutun dabaru-kasuwanci, wanda sarkar tsarawa, ƙaddamarwa, da ƙaddamarwa zuwa bututun gefen uwar garke. Yana fallasa ma'aunin Prometheus, yana goyan bayan sigar ƙirar, da ma'auni da kyau a cikin Kubernetes.
Fahimtar Fasaha
Dynamic batching shine ainihin lever kayan aiki. GPUs sun fi dacewa sarrafa manyan batches, amma buƙatun samarwa suna zuwa ɗaya bayan ɗaya. Triton yana riƙe da buƙatun don ƙaramin taga mai daidaitawa (misali, ƴan millise seconds), ya haɗa su cikin tsari, yana gudanar da bincike ɗaya, sannan ya raba sakamakon ga kowane mai kira. Wannan yana haɓaka amfani da GPU tare da ƙaramin ƙimar latency kawai. Kisa na lokaci-lokaci da ƙungiyoyin misalan kowane samfuri suna barin GPU ɗaya ya kasance cikin shagaltuwa a cikin samfura da yawa lokaci ɗaya.
Jagorar Triton Inference Server
Triton Inference Server shine tushen tushen tushen NVIDIA don turawa da kuma hidimar samfuran AI a cikin samarwa a sikelin. Yana da mahimmanci saboda yana daidaita nau'ikan samfura nawa - a ƙetare sassa daban-daban - waɗanda aka gudanar da su, an daidaita su, da samun dama ga API mai inganci guda ɗaya. Triton Inference Server tubalin ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli. Don gina zurfin fahimta, bi da Triton Inference Server a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da Triton Inference Server suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa akan dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Bayar da samfurin gano zamba, samfurin shawarwari, da mai rarraba hoto akan uwar garken GPU ɗaya da aka raba ta amfani da kisa na lokaci guda.
Yin amfani da batching mai ƙarfi don yin hidimar babban ƙimar hoto-ganewar hoto don haka ana harhada buƙatun tarwatse don ingantaccen ƙimar GPU.
Gina gunkin sabar-sabar wanda ke gudanar da sarrafa hoto, mai ganowa TensorRT, da lakabin posting a cikin bututun Triton guda ɗaya.
Aiwatar da LLM tare da goyan bayan TensorRT-LLM a cikin Triton don watsa martanin chatbot ga dubban masu amfani da lokaci guda.
Hanyoyin Aiwatarwa
Triton Inference Server a aikace
Bayar da samfurin gano zamba, samfurin shawarwarin, da mai rarraba hoto akan sabar GPU ɗaya da aka raba ta amfani da kisa na lokaci ɗaya.
Bayar da samfurin gano zamba, samfurin shawarwarin, da mai rarraba hoto akan uwar garken GPU guda ɗaya ta amfani da ƙirar kisa na lokaci guda Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Triton Inference Server a aikace
Yin amfani da batching mai ƙarfi don bautar babban fasinjan hoto na API don haka an haɗa buƙatun tarwatsa don ingantaccen ƙimar GPU.
Yin amfani da batching mai ƙarfi don bautar babban fasinjan hoto na API don haka ana haɗa buƙatun tarwatsa don ingantattun ƙungiyoyin ra'ayi na GPU yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Triton Inference Server a aikace
Gina gunkin sabar-sabar wanda ke gudanar da sarrafa hoto, na'urar ganowa ta TensorRT, da lakabin bayan aiwatarwa a cikin bututun Triton guda ɗaya.
Gina rukunin gefen uwar garken wanda ke gudanar da aiwatar da hotunan hoto, mai gano TensorRT, da lakabin postprocessing a cikin bututun Triton guda ɗaya Ƙungiyoyin yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefen, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Triton Inference Server a aikace
Aiwatar da LLM tare da goyan bayan TensorRT-LLM a cikin Triton don watsa martanin taɗi ga dubban masu amfani da lokaci guda.
Aiwatar da LLM tare da baya TensorRT-LLM a cikin Triton don watsa martanin chatbot ga dubban masu amfani da lokaci guda Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.