Dubawa
Tensor Cores sune na'urori na musamman na kayan masarufi a cikin NVIDIA GPUs na zamani waɗanda ke yin matrix ninka-da-tara ayyuka cikin sauri. Su ne babban dalilin da GPU guda ɗaya zai iya horarwa da gudanar da oda manyan hanyoyin sadarwa na jijiyoyi da sauri fiye da ƙididdige maƙasudin gaba ɗaya zai ba da izini.
Tensor Cores wani shingen ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli.
Zurfafa nutsewa
An gabatar da shi tare da gine-ginen Volta a cikin 2017, Tensor Cores sune keɓaɓɓun da'irori waɗanda ke ƙididdige ƙaramin adadin matrix da ƙari (D = A x B + C) a cikin aiki guda ɗaya, maimakon yin kowane ninki ɗaya a lokaci ɗaya akan daidaitattun CUDA. Domin kusan kowane Layer na cibiyar sadarwa na jijiyoyi yana raguwa zuwa matrix multiplications, wannan yayi daidai da math AI a zahiri ke buƙata. Kowane ƙarni na GPU ya faɗaɗa abin da suke ɗauka: Volta ya yi fale-falen fale-falen 4 × 4 FP16, yayin da daga baya Ampere, Hopper, da kuma gine-ginen Blackwell sun ƙara ƙananan madaidaicin tsari kamar TF32, BF16, INT8, FP8, da FP4. Ƙarƙashin daidaito yana nufin ƙarin lambobi waɗanda aka sarrafa kowace agogo, haɓaka kayan aiki da yawa don horo da ƙima yayin kiyaye daidaito karɓuwa.
Fahimtar Fasaha
Tensor Core yana ninka ƙananan matrices guda biyu kuma yana tara sakamakon a cikin matakai guda ɗaya, yana amfani da gaskiyar cewa ana sake amfani da ƙimar shigarwa iri ɗaya a cikin abubuwan fitarwa da yawa. Yawanci yana karanta abubuwan shigarwa cikin madaidaicin madaidaici (FP16, BF16, ko FP8) amma yana tara jimlar gudu cikin madaidaici mafi girma (sau da yawa FP32) don iyakance kuskuren zagaye. Dakunan karatu na software kamar cuBLAS da cuDNN, da tsarin aiki kamar PyTorch, tile manyan matrices a cikin waɗannan ƙananan tubalan ta atomatik don haka samfura suna samun saurin sauri ba tare da coding na hannu ba.
Jagoran Tensor Cores
Tensor Cores sune na'urori na musamman na kayan masarufi a cikin NVIDIA GPUs na zamani waɗanda ke yin matrix ninka-da-tara ayyuka cikin sauri. Su ne babban dalilin da GPU guda ɗaya zai iya horarwa da gudanar da oda manyan hanyoyin sadarwa na jijiyoyi da sauri fiye da ƙididdige maƙasudin gaba ɗaya zai ba da izini. Tensor Cores wani shingen ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli. Don gina zurfin fahimta, bi da Tensor Cores a matsayin samfurin aiki, ba nau'i ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da kuma raba abin da tsarin zai iya dogara da abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da Tensor Cores 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
Horar da manyan nau'ikan harshe kamar na'urorin canji na GPT, inda biliyoyin matrix multiplications na kowane mataki ke gudana akan Tensor Cores a cikin BF16 ko FP8.
Gudun ƙayyadaddun ƙayyadaddun ƙayyadaddun bayanai don chatbots da masu samar da hoto, ta amfani da ƙididdigewa na INT8 ko FP8 don ba da ƙarin masu amfani ga kowane GPU.
Haɓaka NVIDIA DLSS a cikin wasannin bidiyo, inda hanyar sadarwar jijiyoyi ke haɓaka ƙananan firam ɗin ƙira ta amfani da Tensor Cores kowane firam.
Ƙaddamar da ƙididdiga na kimiyya kamar furotin-folding (AlphaFold) da kuma yanayin yanayi waɗanda aka sake fasalin su azaman matrix-nauyin aikin jijiya.
Hanyoyin Aiwatarwa
Tensor Cores a aikace
Horar da manyan nau'ikan harshe kamar na'urorin canji na GPT, inda biliyoyin matrix multiplications na kowane mataki ke gudana akan Tensor Cores a cikin BF16 ko FP8.
Horar da manyan nau'ikan yare kamar masu canji irin na GPT, inda biliyoyin matrix multiplications na kowane mataki ke gudana akan Tensor Cores a cikin BF16 ko FP8 Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Tensor Cores a aikace
Gudun ƙayyadaddun ƙayyadaddun ƙayyadaddun bayanai don chatbots da masu samar da hoto, ta amfani da ƙididdigewa na INT8 ko FP8 don ba da ƙarin masu amfani ga kowane GPU.
Gudun ƙayyadaddun ƙayyadaddun bayanai don chatbots da masu samar da hoto, ta amfani da ƙididdige INT8 ko FP8 don ba da ƙarin masu amfani ga ƙungiyoyin GPU yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kuskure akan lokaci.
Tensor Cores a aikace
Haɓaka NVIDIA DLSS a cikin wasannin bidiyo, inda hanyar sadarwar jijiyoyi ke haɓaka ƙananan firam ɗin ƙira ta amfani da Tensor Cores kowane firam.
Haɓaka NVIDIA DLSS a cikin wasannin bidiyo, inda hanyar sadarwa ta jijiyoyi ke haɓaka ƙananan firam ɗin ƙira ta amfani da Tensor Cores kowane rukunin firam ɗin yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Tensor Cores a aikace
Ƙaddamar da ƙididdiga na kimiyya kamar furotin-folding (AlphaFold) da kuma yanayin yanayi waɗanda aka sake fasalin su azaman matrix-nauyin aikin jijiya.
Ƙaddamar da lissafin kimiyya kamar furotin-folding (AlphaFold) da kuma yanayin yanayi waɗanda aka sake fasalin su azaman matrix-nauyin aikin jijiyoyi Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin abubuwan da ake samu da kuma kashe kuɗi na 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.