Uhlolojikelele
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.
I-TensorRT kanye ne-Inference Engines iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini.
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 ukunqamula 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-Mastering 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. Kubalulekile ngoba imodeli efanayo ingasebenzisa i-2-6x ngokushesha futhi ishibhile ngesikhathi sokucabanga ngaphandle kokushintsha lokho ekubikezelayo. I-TensorRT kanye ne-Inference Engines iyibhulokhi yokwakha yobuchwepheshe ethinta ikhwalithi yemodeli, izindleko zengqalasizinda, ukubambezeleka, nokuthembeka esikalini. Ukuze wakhe ukuqonda okujulile, phatha i-TensorRT kanye ne-Inference Engines njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-TensorRT kanye ne-Inference Engines alungiselela izakhiwo, idatha, nokukhetha kwengqalasizinda ngokumelene nokuthembeka nezindleko. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ngesikhathi esifanayo, Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
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
Amaphethini Okusebenzisa
I-TensorRT kanye ne-Inference Engines ekusebenzeni
Ukuguqula imodeli ye-YOLO yokuthola into ibe injini ye-TensorRT INT8 ukuze isebenze ngesikhathi sangempela ku-NVIDIA Jetson irobhothi noma ikhamera ehlakaniphile.
Ukuguqula imodeli yokubona into ye-YOLO ibe injini ye-TensorRT INT8 ukuze isebenze ngesikhathi sangempela ku-NVIDIA Jetson irobhothi noma ikhamera ehlakaniphile Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-TensorRT kanye ne-Inference Engines ekusebenzeni
Ukukhonza imodeli ye-Llama noma ye-Mistral nge-TensorRT-LLM kusetshenziswa i-batching yangaphakathi endizeni ukuze kwandiswe amathokheni ngomzuzwana kuma-H100 GPUs ku-backend ye-chatbot.
Ukukhonza imodeli ye-Llama noma ye-Mistral nge-TensorRT-LLM kusetshenziswa i-batching endizeni ukuze kwandiswe amathokheni ngomzuzwana ngamunye kuma-H100 GPUs ku-chatbot backend Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zesikhathi sokukhiqiza kanye namaphutha.
I-TensorRT kanye ne-Inference Engines ekusebenzeni
Ukuthuthukisa imodeli yokuqaphela inkulumo ngokunemba kwe-FP16 ukuze usike ukubambezeleka kokuloba kusevisi yamazwibela abukhoma.
Ukuthuthukisa imodeli yokuqaphela inkulumo ngokunemba kwe-FP16 ukuze kunqandwe ukubambezeleka kokulotshiweyo enkonzweni yamazwibela abukhoma Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-TensorRT kanye ne-Inference Engines ekusebenzeni
Ukuhlanganisa inethiwekhi yezinga lokuncoma enjinini ye-TensorRT ehlanganisiwe ukuze isingathe izigidi zezicelo ngomzuzwana ngezindleko eziphansi ze-GPU.
Ukuhlanganisa inethiwekhi yezinga lokuncoma injini ye-TensorRT ehlanganisiwe ukuze isingathe izigidi zezicelo ngomzuzwana ngezindleko eziphansi ze-GPU Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
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.
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.