GPU ak TPU ngir IA
GPUs ak TPUs ñooy ñaari xeeti puce yi gëna am solo ngir tàggat ak doxal IA.
Résumé
GPUs are flexible all-rounders dominated by NVIDIA; TPUs are Google's custom chips built specifically to crunch the math behind neural networks.
Plongeur bu xóot
GPU (Graphics Processing Unit) dañu ko njëkka defar ngir wane nataali jeu video, waaye ay junni core yu paralel ñoo mujjee nekk lu baax ci math matrix ci njàng mu xóot. GPU NVIDIA (lu melni A100 ak H100), boole ci ecosystem losisel CUDA, ñoo nekkoon li ñuy jëfandikoo ci liggéeyukaay bi. TPU (Aparey Tensor) mooy ASIC bu AIU_PROTECTED_11_ — puce buñ jagleel benn aplikaasioŋ buñ defaree ci noonu rek ngir liggéey tensor. TPU yi dañuy jëfandikoo 'matrix systolic' buy joxe done ci biir griy bu bari ay yunit yu am trafik memory bu néew, loolu dafay tax ñu gëna am njariñ ci bariwaayu matrix yu mag. Li gëna am solo mooy: GPU yi barina njeriñ, barina luñu leen mëna am, te barina luñu leen di jàppale ci ecosystem losisel bi; TPU yi mën nañu joxe liggéey bu gëna baax ci watt bu nekk ak njëg ngir tàggat yu yaatu waaye li gëna bari mooy Google Cloud ak TensorFlow/JAX stack.
Gis-gis xarala
Seen wuutu mooy architecture. GPU amna core yu bari yuñ jagleel ñépp boole ci 'Tensor Cores' yuñ jagleel math matrix. TPU dañu ko tabax ci kaw benn rang systolic: ab griy hardware fu done yi di jaar ci ay unité multiply-accumulate yuñ boole, suko defee resultaa yi ci digg yi dañuy jaar ci diggante selul yi ci barabu di jàng ak bind ci mémoire bi saa yu nekk. Loolu dafay dagg bu baax fitnaal bandwidth memory - lu bari ci bottleneck dëgg - def TPUs ñu am doole lool ci matrix dense biy yokk li ëpp doole ci tàggat reso neuronal.
njeextalu pexe
Njëgg ak budget
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
dogal yu gëna leer
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Xool kalite
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Ëlëgu GPU ak TPU ngir IA
Tendens silisium buñ jagleel mingi gëna gaaw. Lu weesu TPU yi, Amazon (Trainium/Inferentia), ak startup yu bari ñu ngi defar ay puce yuñ jagleel IA ngir wàññi li ñuy jëfandikoo ci NVIDIA ak wàññi njëg yi. Xaarandil gëna spesialisasioŋ - chips yu wuute yuñ gëna defar ngir tàggat yaram ak inference yu néew - ak gëna fësal performance-per-watt ndax energie mooy nekk luy tënk. NVIDIA's CUDA moat mooy GPUs yi gëna am doole leegi, waaye yoon wi ci diir bu yàgg mooy paysage hardware bu gëna bari ay mbir.
Doxal ci àdduna dëgg
Taggat benn xeetu làkk bu yaatu ci kaw 'pod' TPU Cloud bu am ay junni puce yuñ boole
Gëstukat yi jëfandikoo NVIDIA H100 GPUs ak CUDA ngir jàngat xeetu architecture yu bees
Ab startup buy luwe ay GPU waxtu bu nekk ci ab fournisseur cloud ndax seen neexaay ak seen ndimmbalu kaadar bu yaatu
Google def ay tegtal ngir seetlu ak tekki bu baax ci kaw TPUs ci anam wu yaatu
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Benchmark ci biir sargal ak done yu dëggu.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
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Gis bi ci topp
Doxal mémoire GPU ak xaaj
Laaj yi ñuy faral di laaj
What is GPU vs TPU for AI?
GPUs ak TPUs ñooy ñaari xeeti puce yi gëna am solo ngir tàggat ak doxal IA. GPU yi dañu yomba def lépp te NVIDIA moo leen ëpp doole; TPU yi ay puce AIU_PROTECTED_11_ lañu yuñ defaree ngir jàppale math bi ci ginaaw reso neuronal yi.
Lan lañu njëkka sos GPU balaa muy nekk lu am solo ci IA?
GPU yi dañu leen tabax ngir wane ay grafik, waaye seen jëmmal paralel bu bari dafa baax ci math matrix ci jàng bu xóot.
Kan moo defar TPU bi?
Aparey biy doxal tensor bi puce buñ jagleel la (ASIC) bi __AIU_PROTECTED_11_ defar ngir liggéey ci reso neuronal.
Ban xeetu hardware mooy tax TPU yi gëna mëna yokk matrix bi?
TPU yi dañuy jëfandikoo ab rang systolic fu ay done di jaar ci benn griy bu bari ay selil yuy dajale, ñuy joxe resultaa yi ci seen biir directement ba noppi wàññi trafik memory bi.
Lan mooy faral di nekk bottleneck REAL bi TPU yi bëgga wàññi?
Toxal ay done ci biir ak genn memory bi mooy faral di gàllankoor; systolic array bi dafay wàññi loolu ci joxe resultaa yi ci diggante selul yi.
Lan mooy njariñ li gëna mag ci GPUs ci kaw TPUs?
GPU yi barina luñu mëna jëfandikoo, barina luñu leen mëna am, te ecosystem CUDA bu mag bi ak ndimmbalu kaadar bu yaatu lañu leen di jàppale, moo tax ñu nekk li ñuy jëfandikoo ci liggéeyukaay bi.