GPU servers iyo taasoo xanuun ku yeelanayo Ooqaabinta iyo Horumarinta AI.
Dhibdheerka AI hoosaysiga iyo horumarka (R&D) way cusub tahay iyadoo badan hadal, arkayal dhexeere leh, shaandharka jaring labida ah oo qurux badan, iyo baahinta in la sameeyo jarida casriga ayaa kalsoonidde. Sarradda gudaha caadiga ah way aad u yar tahay inay raacdaan sababtoo ah ma yeelan karaan amarinta saamimka si loo dhammaystiro shaqada saamimka iyo duqaalka si loo dhammaystiro hoosaysiga kooxka. Sarradda GPU ee sare leh waa lagu badalay mashaqda sababtoo ah waxay ku jiraan saamimka badan goob yar ah.

Shaandharka Wada Gudbiyaha, ama haddana, Talaabadka Horumarinta Mudulka.
Saxaafadda mudulka iyo tijaabinta waa qodob kasta ugu muhiimka ah ee I-R&D ee AI, waxayna la dhigantahay sifooyinka iskudhufan oo loo isticmaalo in lagu xisaabiyo tilmaamaha weyn ee xogta. Tibaabka GPU ee leh tibix ahaan ku quruxsan ay ku quruxsataan goobo kaka fogaan oo GPU ganacsi kala duwan si ay u noqdaan guryo kasta oo dhalin kara in ay sameeyaan xisaabiyada weyn ee iskudhufan. Kan iskudhufan wuu kordhin karta waqtiga saxaafadda mudulka si joogto ah: waxa oo ka hor inta jeerida loo isticmaali jiray seerverada guud waxa laga helay in lagu saxeexayo maalmood ama saacadadaba. Tusaale ahaan, shaqo buuxda horumarinta mudulka AI si loo kalsooni dooro in la ilaaliyo habdhabka soo saarka waxa laga yaabaa in lagu dhisaa tijiyada 3x badan sancaadkii kala duwan, taasoo kala soconkara helitaanka mudulka ilaa lagu dhisno. Inta ugu wanaagsan, Aethlumis wuxuu samaysney seerverada suurogal ah HPE, Dell iyo Huawei, sidoo kale awoodda GPU ma la furin karin sababtoo ah suurogalnimada, taasoo muhiim ah in la raadiyo timaadaha R&D halka maalmaha koonteenka waqtiga uu noqon kara mid walba oo dambeskor.

Tusaale Wanaagsan: Xusulka Kooxaha Su'aasha.
Hormuud iyo horumarinta Xeerka Caqliga Ah (AI) jirna ma ahan khal in la sameeyo tol ah; midho kasta oo baahida leh in ay ka mid yihiin kooxaha sayniska, injineerada, iyo sayniska luuqadda laguna wada shaqeeyaa kaydaha iyo kuwani wada shaqeeyaa sanadkii dhow. Seerverada GPU ee leh tafatifta ugu sarreeya waxay bixiyeen fureedka loo qaban karaa in kooxaha dadka in ay isticmaaleen seervera kastaaba si jabiyaan in ay sameeyaan tijaabooyin, isku dayin algoritmikada, iyo tijaabinta natiijooyinka markaas. Tanu wuxuu saaray dhammaadka sida ardaynta iyo waqtiyada loogu dubbaa kaydaha. Tusaale ahaan: koox hormuud iyo horumarinta maaliyadda oo aasaasaya mudalada furitaanka algoritmiga waxay yeelan karaan sayniska luuqadda oo isku dayeya algoritmikada furitaanka xajijinta iyo injineerada oo isku dayeya awoodda mudalada oo dhammuba joogitaan seervera kasta oo leh tafatifta ugu sarreeya. Isdhexgalka nidaamka Aethlumis oo la dhigay hababka caafka ah wuxuu kuu dhaqaaqa in caawinta sayniska loo helo marka loo isticmaalayo ama loo shaqeeyo, sidoo kale ma jirto kororsasho ah oo ka timaadaya shaqada sayniska.

TOO la cusbooneysiiyay: Awood vs. Qaadasho.
Budjettihii AI R&D waxay mararka qaar way ka dhammaan yihiin, sidoo kale habboonida qiimaha waa mid ka mida aragtiya awoodga ah. Nooca server-ka, loo yaqaana high density server, waa fudud tahay TCO, maxaa yeelay wuxuu siinayaa sii kordhig ugu weyn ee awoodda in lagu bereegeyo quraac khaas iyo u hortagaya kama ay khasab tahay awood. Nidaamkii high-density waxay karyaha ku badan tahay 40% dibaddi karaarka guud ee server-ka adag oo ay ku dhashaan qaadashada guryaha, tajiyadda iyo xarshaha deeqsiga. Kaasoo la waana, dhaqdhahoodu waa la cusbooneysiiyay (waxay adeegsadaan hardware-heerka aan nala soo xulay) waxayna karyahi khasabka 20-25% khasab tahay bilaash, ganacsi la'aan awood. Marka la heley tusaalooyinka taajiyadda R&D ku qoran mudaharka AI ku qoran mudaharka in la muujiyo awoodda in la soo saaro, waxay ka dhigantahay in ay khasab tahay in ay khasab tahay afkaar cusub, ganacsi la'aan xarshaha jidkanka.

Fa’iidooyinka R&D ee ah jaha qallooc ah: La iskudhafan Aethlumis.
Oggolaanshaha aqoonta aad u gaar ah Aethlumis ee biilashada, samafisinta iyo nidaamka nidaamka ayaa ku darsan in la cusbooneysiiyo sefer GPU oo ka mida sare si ay dhamaystiran tahay R&D kala duwan:
Biilashada: Seperarka sare ee ka mida sare ee ku xidhan fagaaraha yar iyo shaqada salweyn ah waxay noqonaysaa aqoonsiga muhiim ah dhexdhexaadka hababka qiimaynta ama algoritimka helitaanka korontada sababtoo ah in ay badan tahay dhammaan kartaa hal weydaaska xooggan iyo inay dhammaan tahay taliyadda sare ee xubnaha.
Samafisinta: Si loo sameeyo suurtoogalnimada AI-ka saameya arrimo kalsoonida ama horumarinta samafisinta, guudaha samafisinta waxay isticmaalaa GPU-yada ka mida sare si ay ugu socoto dhaxalka hayagga maalmahan si ay sii kordhibaan suurtoogalnimadii iyo ugu yarro isticmaalka.
Nidaamka: Seperarka ka mida sare ayaa ku dheerisaa shaqada gudahood loo soo saaro nidaamka nidaamka iyo tilmaaminta maareynta nidaamka leh addeecada kala duwan oo ku taagan panel solar ama tuurbaynta hoolaha si ay modelka loo kordho isticmaalka nidaamka iyo durkabaadka.
Gunaanad
Sarvarka GPU ee ugu fiican ayaa beddelidaiya fikradaha I-SX oo kordhinaya qudradka shaqada, kalsoonida awoodsiga leh iyo raaxaysiga ah, kuwaas oo loo baahan yahay shirxadda, kuwa la interested in lagu wada shaqeeyo sababtoo ah. Dhammaantiinta leh HPE, Dell iyo Huawei wajibin kartaa in sarvarrada Aethlumis ay dhamaan tahay siyaasadda sare iyo hardware cusub, dhisidda nidaamka, awoodsiga teqnolojiyada geesle'inta ah iyo garanista dooroogga ugu muhiimsan ee maamulka, sanaado iyo nidaamka nidaamka, iyadoo loo ammaanayo in sarvarrada Aethlumis ay fuliysaan talabooyinka dhammaan madooyinkaas. Sarvarrada GPU ee ugu fiican ma aha mid ka mid ah hardware keliya siyaasadda I-SX, laakiin waxay noqon karaan injinyada horumarinta xiqiiqda, tijaabooyinka caawimaadka leh iyo natiijooyinka jawaabiya.
Jadwal Tixraaca
- GPU servers iyo taasoo xanuun ku yeelanayo Ooqaabinta iyo Horumarinta AI.
- Shaandharka Wada Gudbiyaha, ama haddana, Talaabadka Horumarinta Mudulka.
- Tusaale Wanaagsan: Xusulka Kooxaha Su'aasha.
- TOO la cusbooneysiiyay: Awood vs. Qaadasho.
- Fa’iidooyinka R&D ee ah jaha qallooc ah: La iskudhafan Aethlumis.
- Gunaanad