Dubawa
GPUs da TPUs sune manyan nau'ikan guntu guda biyu don horarwa da gudanar da AI. GPUs masu sassaucin ra'ayi ne wanda NVIDIA ta mamaye; TPUs Google's guntu na al'ada da aka gina musamman don murƙushe lissafi a bayan cibiyoyin sadarwa.
GPU vs TPU don AI ƙaƙƙarfan ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikelin.
Zurfafa nutsewa
A GPU (Graphics Processing Unit) was originally built to render video-game graphics, but its thousands of parallel cores turned out to be perfect for the matrix math in deep learning. NVIDIA GPUs (kamar A100 da H100), an haɗa su tare da yanayin yanayin software na CUDA, sun zama tsohuwar masana'antar. TPU (Tensor Processing Unit) ASIC Google ce - takamaiman guntu da aka tsara daga karce don ayyukan tensor. TPUs suna amfani da 'systolic array' wanda ke watsa bayanai ta hanyar grid na raka'a masu tarin yawa tare da ƙarancin zirga-zirgar ƙwaƙwalwar ajiya, yana mai da su inganci sosai don haɓakar manyan matrix. Kasuwancin da ya dace: GPUs suna da yawa, ana samunsu sosai, kuma suna goyan bayan ɗimbin yanayin yanayin software; TPUs na iya ba da mafi kyawun aiki-per-watt da farashi don takamaiman horo mai girma amma galibi an ɗaure su da Google Cloud da tarin TensorFlow/JAX.
Fahimtar Fasaha
Bambancin kanun labarai shine gine-gine. GPU yana da nau'ikan maƙasudin gaba ɗaya da yawa tare da 'Tensor Cores' na musamman don lissafin matrix. An gina TPU a kusa da tsararru na systolic: grid hardware inda bayanai ke gudana ta hanyar haɗin haɗin kai mai tarawa, don haka matsakaicin sakamako yana wucewa kai tsaye tsakanin sel maimakon karantawa da rubuta ƙwaƙwalwar ajiya akai-akai. Wannan yana yanke matsa lamba na ƙwaƙwalwar ajiyar ƙwaƙwalwar ajiya - galibi ainihin ƙwanƙwasa - yin TPUs sosai a cikin matrix mai yawa wanda ke mamaye horon hanyar sadarwa.
Jagorar GPU vs TPU don AI
GPUs da TPUs sune manyan nau'ikan guntu guda biyu don horarwa da gudanar da AI. GPUs masu sassaucin ra'ayi ne wanda NVIDIA ta mamaye; TPUs Google's guntu na al'ada da aka gina musamman don murƙushe lissafi a bayan cibiyoyin sadarwa. GPU vs TPU don AI ƙaƙƙarfan ginin fasaha ne wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikelin. Don gina fahimta mai zurfi, bi da GPU vs TPU don AI 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 da ke amfani da GPU vs TPU don AI 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 babban samfurin harshe akan Google Cloud TPU 'pod' na dubban kwakwalwan kwamfuta masu haɗin gwiwa
Masu bincike suna amfani da NVIDIA H100 GPUs tare da CUDA don gwaji tare da sababbin gine-ginen ƙira
Farawa na hayar GPUs ta sa'a daga mai samar da gajimare saboda sassaucin su da faffadan tallafin tsarin
Google yana gudanar da bincike don Bincike da Fassara da kyau akan TPUs a ma'auni mai girma
Hanyoyin Aiwatarwa
GPU vs TPU don AI a aikace
Horar da babban samfurin harshe akan Google Cloud TPU 'pod' na dubban kwakwalwan kwamfuta masu haɗin gwiwa.
Horar da babban ƙirar harshe akan Google Cloud TPU 'pod' na dubban guntu masu haɗin haɗin gwiwa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararrakin ƙira, da kuma bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.
GPU vs TPU don AI a aikace
Masu bincike suna amfani da NVIDIA H100 GPUs tare da CUDA don gwaji tare da sababbin gine-ginen ƙira.
Masu bincike da ke amfani da NVIDIA H100 GPUs tare da CUDA don gwaji tare da sababbin gine-ginen ƙira 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 gefen, da kuma bin duk nasarorin samarwa da farashi na kuskure akan lokaci.
GPU vs TPU don AI a aikace
Farawa na hayar GPUs ta sa'a daga mai samar da gajimare saboda sassaucin su da faffadan tallafin tsarin.
Farawa na hayar GPUs a cikin sa'a daga mai ba da girgije saboda sassaucin ra'ayi da fa'idar tallafi Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓaka ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
GPU vs TPU don AI a aikace
Google yana gudanar da bincike don Nema da Fassara da kyau akan TPUs a ma'auni mai girma.
Google Gudanar da bincike don Bincike da Fassara da kyau akan TPUs a manyan ma'auni Ƙungiyoyi yawanci suna samun kyakkyawan sakamako lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan 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.