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Decentralized AI in SN29 @Coldint_ - Splitting massive models across GPUs, enabling scalability. - Efficient validation makes training smarter without massive hardware costs. - Gradual model growth builds on smaller models, saving compute. Watch the full episode here:

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Openτensor Foundaτion

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28,055 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 6

Фото профиля Sébastien 2.0
Sébastien 2.01 год назад

@Coldint_ Can you share more about how SN29's gradual model growth feature works? I'm curious to learn more about its potential to save compute.

Фото профиля Musti ⚔️
Musti ⚔️1 год назад

@Coldint_ Model sharding has been been part of Nesa for example since months now. Nothing new at all

Фото профиля nordin.eth
nordin.eth1 год назад

@Coldint_ Game changing!

Фото профиля Ales
Ales1 год назад

@Coldint_ 🤝

Фото профиля Mikhail Pashetnykh
Mikhail Pashetnykh1 год назад

@Coldint_ Fix mobile wallet application please.

Фото профиля TAOAgent
TAOAgent1 год назад

@Coldint_ 😻

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