Akash – Indawo Yokuthengiselana Yefu Elikhulu Yamandla Ekhompyutha e-AI

#Quasa #QUA #akashnetwork

I-Akash Network yindawo yokuthengiselana ngamandla ekhompyutha engalawulwa yisikhungo esisodwa — “ifu elikhulu” elixhumanisa abaqhatshi abadinga i-CPU/GPU labahlinzeki abazimeleyo abafaka ohlwini imitshina yekhompyutha engasetshenziswayo. Uchaza umsebenzi we-Docker (ngezifanekiso kumbe nge-SDL), abahlinzeki bancintisane ngokwehlisa amanani endalini, besekuthi inkokhelo yokuqhatsha iqedelwe ku-blockchain. Ithokheni yalolu hlelo yi-AKT: isetshenziselwa ukubekela amathokheni ukuze kuvikelwe inethiwekhi, ukuphatha lokuqedela izinkokhelo; i-Burn-Mint Equilibrium (ebisebenza kusukela ngo-March 2026) ixhumanisa ukutshiswa kwamathokheni lemali esetshenziswa emandleni ekhompyutha. I-Akash Console le-AkashML ziqondiswe ekuqeqetsheni i-AI, ekuyilungiseni ngokuqeqetshwa okwengezelelweyo, lasekuyisebenziseni ukukhipha imiphumela (kulohlu lwemitshina yezinga le-H100/A100/H200 nxa itholakala). Abahlinzeki basebenzisa i-Provider Console ukuze bathole imali ngamaseva angasebenziyo. Amanani alawulwa yimakethe njalo avame ukukhangiswa njengaphansi kakhulu kulamanani e-GPU atholakala nxa efunwa kubahlinzeki abakhulu bamafu — kakulaluhlu lwamanani angaguqukiyo olufana lolwe-AWS.

I-Akash Network ifanele abakhi be-AI, amalabhorethri azimeleyo, lamaqembu enelisa ukusebenzisa ama-container njalo afuna isikhathi sokusebenzisa i-GPU esilentengo ephansi kumbe esingadingi imvumo enengi — kanye labaqhubi abalama-GPU angasetshenziswayo abafuna ukuwafaka ohlwini.

Okuqakathekileyo

• Indawo yokuthengiselana nge-GPU/CPU engadingi mvumo uma iqathaniswa labahlinzeki abakhulu bamafu abakubophela kubo
• Ukufakwa kwezinhlelo ezakhelwe i-Docker lezifanekiso ze-AI ezisebenza ngokuchofoza kanye (i-Llama, i-Stable Diffusion, lamaqoqo ezinhlelo afanayo)
• Amanani abekwa ngendali yokuncintisana ngokuwehlisa, angaba ngaphansi kwalawo e-AWS/GCP/Azure
• Ukusetshenziswa kwe-AKT: ukubekela amathokheni ukuze kuvikelwe inethiwekhi, ukuvota, ukuqedela izinkokhelo, lokutshiswa kwamathokheni nge-BME ngokusetshenziswa
• Iqoqo lezinhlelo ezilekhodi yomthombo evulelekileyo lokuthola imali kwabahlinzeki

Okungadinga Ukucatshangelwa

• Inani labahlinzeki lokusetshenziswa kwe-GPU kungaguquguquka; imitshina etholakalayo kayifiki ebuningini beye-AWS
• Kumele uthembe abahlinzeki abazimeleyo njalo uziphathele imisebenzi yokuqhuba uhlelo
• Intengo ye-AKT lokwanda kwenani lamathokheni/inzuzo yokubekela amathokheni kwehlukile kuma-“GPU alentengo ephansi”
• Izivumelwano zezinga lenkonzo zamabhizimusi (ama-SLA), usizo, lamandla agcinelwe ukusetshenziswa kusasele emuva kwe-Big Cloud
• Okumele kufundwe: i-SDL, izikhwama zamathokheni, lokufaka amanani endalini uma kuqathaniswa lekhonsoli ye-AWS esebenzisa ikhadi lesikwelede

Isinqumo Sisonke: izinkanyezi ezingu-4.3/5

I-Akash ingelinye lamafu athembeka kakhulu angalawulwa yisikhungo esisodwa njalo enza imisebenzi yekhompyutha ngempela, ikakhulu kuma-GPU e-AI nxa ukuncintisana ngamanani kuqhubeka. Yiphathe njengendawo yokuthengiselana, hatshi njengesifaniso somhlinzeki omkhulu wamafu: intengo enhle nxa imitshina ikhona; hlola umhlinzeki njalo ube lenye indlela ongayisebenzisa nxa kwehluleka

Qalisa: https://quasa.io/projects/akash-network