⚙️ I-Tesla ithi i-chip yayo elandelayo ye-AI6 ingafika ekukhiyweni komklamo ngoDisemba ↗
I-Tesla iyaqhubeka ne-AI silicon yayo yangaphakathi, kanti u-Elon Musk uthi i-chip ye-AI6 yesizukulwane esilandelayo ingase ifinyelele esicongweni ngoDisemba. Lokho kubalulekile ngoba lena yi-chip i-Tesla eyifunayo ezinhlelweni ezizishayelayo, futhi yebo, ne-robot enjenge-humanoid - indawo enesifiso esikhulu, engaqondakali kahle. (Reuters)
I-Samsung isalokhu ingumlingani wokukhiqiza, exhunywe kuleso sivumelwano sokuhlinzeka esimenyezelwe ngaphambilini samaRandi ayizigidigidi eziyi-16.5, futhi ukukhiqiza kulindeleke ukuthi kusebenzise inqubo ye-Samsung yama-nanometer amabili. Ukukhiqiza ngobuningi kusekude kakhulu, ngakho-ke lokhu kuyintuthuko - hhayi ukufika. (Reuters)
🚨 I-US imangalela abantu abathathu ngokushushumbisa ama-chip e-AI eShayina ↗
I-US imangalele abantu abathathu ababoshwe yi-Super Micro Computer ecaleni elisola ukuphambukiswa kwama-AI chips abiza izigidigidi zamaRandi aya eShayina. Kungenye yalezo zindaba ezenza ukuchuma kwe-AI kubukeke kungeyona into efana nomlingo wesofthiwe kodwa kubukeke njengendaba ethokozisayo yomhlaba wonke. (Reuters)
Leli cala ligcizelela indlela ukulawulwa kokuthunyelwa kwamanye amazwe kwehadiwe ye-AI ethuthukisiwe okuba ngayo inkundla yokulwa ephakathi, hhayi nje umbhalo waphansi wenqubomgomo. Isidingo se-AI sisakhula, kodwa futhi nengcindezi ezungeze ukuthi ubani othola ama-chips - nokuthi ubani okungafanele athole. (Reuters)
🧠 I-Multiverse Computing isunduza amamodeli ayo e-AI acindezelwe abe yi-mainstream ↗
I-Multiverse Computing izama ukwenza amamodeli amancane, acindezelwe e-AI abe yindlela yangempela yokusetha okunamafu amaningi. Iphimbo lilula ngokwanele - linciphisa amamodeli anamandla ukuze akwazi ukusebenza endaweni, ngisho noma ungaxhunyiwe ku-inthanethi, okuzwakala sengathi kuyinto engavamile manje, kodwa ngandlela-thile kuyaqabula. (TechCrunch)
Le nkampani ithi inamamodeli acindezelwe avela kumalebhu afaka phakathi i-OpenAI, i-Meta, i-DeepSeek, ne-Mistral, futhi manje yandisa ukufinyelela kokubili ngohlelo lokusebenza kanye ne-portal ye-API. Emakethe egxile kakhulu ekubaleni okukhulu, lokhu kuzwakala njengomshini ophikisayo othule - amandla amancane, injini engangesikhwama esikhulu. (TechCrunch)
💸 I-Samsung ihlela ukutshala imali engaphezu kwezigidigidi ezingama-73 zamaRandi ukuqinisa isikhundla sayo se-AI chip ↗
I-Samsung ithe izotshala imali engaphezu kwezigidigidi ezingama-73 zamaRandi kulo nyaka ukuqinisa ibhizinisi layo le-semiconductor, kanti ama-AI chips aphakathi nendawo yalowo msebenzi. Lokho akulona uphawu lokuqapha - kuyibhodi elikhulu elikhanyayo elithi inkumbulo nengqalasizinda ye-AI kusalokhu kuyimpi. (Reuters)
Ukusetshenziswa kwemali kuhlanganisa kokubili i-R&D kanye nengqalasizinda, kanti i-Samsung iphinde yathi ibheka izivumelwano ezinkulu emikhakheni ebhekene nesikhathi esizayo njenge-robotics kanye ne-electronics yezimoto. Ngakho-ke yebo, kuyindaba ye-AI chip, kodwa futhi iyindlela ebanzi yokudlala amandla kunoma yini i-stack yezimboni elandelayo eba yiyo. (Reuters)
☁️ I-Nvidia izothengisa ama-chip ayisigidi ku-Amazon ngesivumelwano esikhulu se-AI samafu ↗
I-Nvidia ithe izothengisa ama-chip ayisigidi ku-Amazon Web Services ekupheleni kuka-2027, okuyisivumelwano esikhulu esibonisa ukuthi izakhiwo ze-AI zamafu zinkulu kangakanani. Ama-chip ayisigidi ayinani elikhulu kakhulu kangangokuthi cishe alisazwakali lingokoqobo... uze ukhumbule ukuthi isidingo sokucabanga siyaqhubeka sikhuphuka. (Reuters)
Isivumelwano sidlula ama-GPU futhi sihlanganisa nemishini yokuxhumana, okunikeza i-AWS ukufinyelela okujulile esitokisini se-AI esibanzi se-Nvidia. Kuyisikhumbuzo esinye sokuthi umjaho we-AI awusagcini nje ngokuba ngamamodeli akhangayo - futhi umayelana nokuthi ubani ongumnikazi wamapayipi, ama-rack, ukupholisa, isisu sonke sensimbi sawo. (Reuters)
Imibuzo Evame Ukubuzwa
Kungani i-chip ye-AI6 kaTesla ibalulekile ekuzishayeleni ngokwakho kanye namarobhothi?
I-chip ye-AI6 ye-Tesla ibalulekile ngoba ibhekwa njengengxenye ebalulekile yesistimu yokuzishayela yenkampani elandelayo kanye nezifiso zayo zerobhothi elifana nele-human. Lokho kuyenza ibe ngaphezu kokuvuselelwa kwe-chip okuvamile. Ixhunyaniswe nemigomo emibili yehadiwe ye-AI ye-Tesla edinga kakhulu, noma ngabe iphrojekthi ihlala isezingeni lokuthuthukiswa kunokuba ikhiqizwe ngokugcwele.
Kusho ukuthini ukuthi “i-tape-out” noma i-design lock kwi-chip ye-AI?
Ngokwendlela engokoqobo, i-tape-out isho ukuthi ukwakheka kwe-chip sekuthuthuke kakhulu ngokwanele ukuba kuqedwe ukukhiqizwa. Kuyisinyathelo sobunjiniyela esinenjongo, kodwa akusho ukuthi i-chip isivele ithunyelwa ngesilinganiso. Ku-chip ye-AI6 kaTesla, umgomo obikiwe ngoDisemba ukhomba intuthuko ekuklanyweni nasekuhleleni, hhayi ekufakweni ngokushesha ezimotweni noma kumarobhothi.
Kungani i-Samsung ivele ezindabeni eziningi kangaka ze-AI chips njengamanje?
I-Samsung ivela ngokuphindaphindiwe ngoba ihilelekile kokubili ezinhlangothini zokukhiqiza kanye nokutshalwa kwezimali zomjaho wama-chip e-AI. Ihlala ingumlingani wokukhiqiza we-Tesla esizukulwaneni esilandelayo sama-chip futhi ihlela nokusetshenziswa kwemali enkulu yama-semiconductor ngokwayo. Leyo nhlanganisela yenza i-Samsung ifaneleke hhayi nje njengomhlinzeki, kodwa njengenkampani ezama ukwakha i-hardware stack ebanzi ye-AI.
Iyini incazelo enkulu yokuthi iNvidia ithengise ama-chip ayisigidi ku-AWS?
Isivumelwano se-Nvidia-AWS siqokomisa ukuthi izakhiwo ze-AI zamafu sezibe zinkulu kangakanani. Lokhu akuseyona nje indaba yokuqeqeshwa kwamamodeli. Lesi sivumelwano sihlanganisa nezinto zokuxhumana, okubonisa ukuthi ingqalasizinda ye-AI manje incike ezinhlelweni eziphelele: ama-chip, ama-interconnect, ama-racks, ukupholisa, kanye nokwakhiwa kwesikhungo sedatha esizungezile okugcina ukuqagela okukhulu kusebenza.
Kungani icala lokushushumbisa ama-chip e-AI elisolwayo libaluleke kangaka eShayina?
Leli cala libalulekile ngoba libonisa ukuthi ihadiwe ye-AI ethuthukisiwe manje isiyindawo yokulawula yezwe, hhayi umkhiqizo wezohwebo kuphela. Isidingo sama-chip anamandla siphezulu, kodwa nokuhlolwa kukahulumeni ukuthi lawo ma-chip aphelela kuphi. Kuzo zonke izindlela eziningi, ukufinyelela ku-computing sekuyindlela ehlakaniphile njengokufinyelela kumamodeli esofthiwe akhiwe phezu kwawo.
Ingabe amamodeli amancane acindezelwe aba yindlela yangempela yokushintsha i-AI enamafu?
Lesi sihloko sibonisa ukuthi ziya ngokuya zithembeka, ikakhulukazi ezimweni zokusetshenziswa ezizuza ekusebenzeni kwasendaweni noma okungaxhunyiwe ku-inthanethi. Inkulumo ye-Multiverse Computing ukuthi amamodeli aqinile angacindezelwa ngokwanele ukusebenzisa ngaphandle kokusethwa kwamafu amakhulu. Lokho akuthathi indawo yengqalasizinda enkulu, kodwa kukhomba indlela efanayo lapho ukusebenza kahle kanye nokuphatheka kuba yingxenye yengxoxo ye-AI.