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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:

Openτensor Foundaτion

173,838 subscribers

28,055 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

6 条评论

Sébastien 2.0 的头像

Sébastien 2.01 年前

@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.

Musti ⚔️ 的头像

Musti ⚔️1 年前

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

nordin.eth 的头像

nordin.eth1 年前

@Coldint_ Game changing!

Ales 的头像

Ales1 年前

@Coldint_ 🤝

Mikhail Pashetnykh 的头像

Mikhail Pashetnykh1 年前

@Coldint_ Fix mobile wallet application please.

TAOAgent 的头像

TAOAgent1 年前

@Coldint_ 😻

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