I-TensorRT kanye ne-Inference Engines
I-TensorRT ilabhulali ye-NVIDIA ehlanganisa amanethiwekhi e-neural aqeqeshiwe abe izinjini ezithuthukiswe kakhulu ezisebenza ngokushesha kakhulu kuma-NVIDIA GPU.
Uhlolojikelele
It matters because the same model can run 2-6x quicker and cheaper at inference time without changing what it predicts.
I-Deep Dive
Injini ye-inference ithatha imodeli eqeqeshiwe futhi iyibhale kabusha ukuze isebenze ngokushesha ngangokunokwenzeka kuhadiwe okuqondiwe. I-TensorRT yenza lokhu kuma-NVIDIA GPU ngezinyathelo ezimbalwa. Yenza ukuhlanganisa ungqimba, ukuhlanganisa imisebenzi efana ne-convolution, i-bias-add, kanye ne-ReLU ibe yi-GPU kernel eyodwa ukusika ithrafikhi yememori. Kusebenza ukulinganisa okunembayo, ukwehla ukusuka ku-FP32 kuye ku-FP16 noma ku-INT8 (kanye ne-FP8 ku-Hopper) kuyilapho kugcinwa ukunemba. Isebenzisa i-kernel auto-tuning, ilinganisela ukusetshenziswa okuningi kwesendlalelo ngasinye ku-GPU yakho kanye nokukhetha okusheshayo. Umphumela uyifayela 'lenjini' elicushwe ngokulandelana kwe-GPU eyodwa. I-TensorRT-LLM inweba lokhu ngekhasi le-KV-cache, i-in-flight batching, kanye ne-tensor parallelism kumamodeli wezilimi ezinkulu.
I-Technical Insight
Ama-speedups amakhulu kakhulu avela kumaqhinga amabili. I-Kernel fusion iqeda uhambo oluya nokubuya ukuze ubambezele inkumbulo yomhlaba ye-GPU ngokugcina imiphumela emaphakathi kumarejista asheshayo nenkumbulo eyabiwe. Ukulinganisa ku-INT8 kupakisha amanani amane lapho i-FP32 eyodwa yahlala khona, i-arithmetic throughput ephindwe kane kuma-tensor cores, kodwa idinga idathasethi yokulinganisa ukuze ibale izici zokukala nge-tensor ngayinye ukuze ibanga lezinombolo elincishisiwe lingabhubhisi ukunemba. Injini iqondene nezingxenyekazi zekhompuyutha ezithile ngoba ukulungisa okuzenzakalelayo kubhaka kuma-kernels alungile waleyo ngqikithi ye-GPU nesakhiwo sememori.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa le-TensorRT kanye ne-Inference Engines
Izinjini zokucatshangelwa ziya ekunembeni okuphansi (i-FP8, FP4, nezikimu ezixubile) nezici eziqondene ne-LLM ezifana nokuqanjwa kokuqagela nokuphegetha inqolobane ye-KV ehlakaniphile. I-TensorRT-LLM kanye nezimbangi ezifana ne-vLLM ziyaguqulela ekugcwaliseni/kuqoshwe okuhlukanisiwe kanye nokunqwabelana okuqhubekayo. Lindela ukuhlanganiswa komhlanganisi okuqinile (i-Torch-TensorRT, i-ONNX), ukulinganisa okuzenzakalelayo okunokulinganiswa okuncane okwenziwa ngesandla, nokusekelwa okubanzi komzila oxubene nochwepheshe njengamamodeli amakhulu ngokushibhile kuba impi yezindleko ezimaphakathi.
Ukuqaliswa Komhlaba Wangempela
Ukuguqula imodeli ye-YOLO yokuthola into ibe injini ye-TensorRT INT8 ukuze isebenze ngesikhathi sangempela ku-NVIDIA Jetson irobhothi noma ikhamera ehlakaniphile.
Ukukhonza imodeli ye-Llama noma ye-Mistral nge-TensorRT-LLM usebenzisa i-batching endizeni ukuze kwandiswe amathokheni ngomzuzwana kuma-H100 GPUs ku-backend ye-chatbot
Ukuthuthukisa imodeli yokuqaphela inkulumo ngokunemba kwe-FP16 ukuze usike ukubambezeleka kokuloba kusevisi yamagama-ncazo abukhoma
Ukuhlanganisa inethiwekhi yezinga lokuncoma injini ye-TensorRT ehlanganisiwe ukuze isingathe izigidi zezicelo ngomzuzwana ngezindleko eziphansi ze-GPU
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
I-AI Inference Optimization
Imibuzo evame ukubuzwa
What is TensorRT and Inference Engines?
I-TensorRT ilabhulali ye-NVIDIA ehlanganisa amanethiwekhi e-neural aqeqeshiwe abe izinjini ezithuthukiswe kakhulu ezisebenza ngokushesha kakhulu kuma-NVIDIA GPU. Kubalulekile ngoba imodeli efanayo ingasebenzisa i-2-6x ngokushesha futhi ishibhile ngesikhathi sokucabanga ngaphandle kokushintsha lokho ekubikezelayo.
Iyini inhloso eyinhloko yenjini ye-inference efana ne-TensorRT?
Izinjini zokukhomba zithatha imodeli esivele iqeqeshiwe futhi ziyibhale kabusha ngesivinini esiphezulu kuhadiwe ethile; abawaqeqeshi amamodeli.
Ukuhlanganisa ungqimba kusheshisa kanjani ukuqagela?
I-Fusion ihlanganisa imisebenzi efana ne-conv, i-bias, kanye nokwenza kusebenze kube i-kernel eyodwa ukuze imiphumela emaphakathi ihlale kumemori esheshayo esikhundleni sokubhalwa emuva ekubambeni kwenkumbulo yomhlaba.
Kungani ukulinganisa kwe-INT8 ngokuvamile kudinga isethi yedatha yokulinganisa?
Ukulinganisa kusebenzisa idatha yommeleli ngemodeli ukuze kunqunywe izici zesikali se-tensor ngayinye, ngakho-ke ububanzi obulinganiselwe be-INT8 bulondoloza ukusabalalisa kwevelu ebalulekile.
Kungani injini ye-TensorRT ehlanganisiwe ngokuvamile iqondene nesakhiwo esisodwa se-GPU?
Ukushuna ngokuzenzakalela amabhentshimakhi ama-kernel ku-GPU eqondiwe nokukhetha lawo alungile, okwenza injini iboshelwe kuleso sici sezakhiwo.
Isiphi isici se-TensorRT-LLM esiza ngokukhethekile ukusebenzisa amamodeli ezilimi ezinkulu ngempumelelo?
I-TensorRT-LLM yengeza ukulungiselelwa okukhethekile kwe-LLM njengokuxutshwa endizeni kanye nekhasi le-KV-cache ukuze kwandiswe ukusebenza komthwalo wokukhiqiza umbhalo.