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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:
28,055 Aufrufe • vor 1 Jahr •via X (Twitter)
6 Kommentare

Sébastien 2.0vor 1 Jahr
@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 ⚔️vor 1 Jahr
@Coldint_ Model sharding has been been part of Nesa for example since months now. Nothing new at all

nordin.ethvor 1 Jahr
@Coldint_ Game changing!

Alesvor 1 Jahr
@Coldint_ 🤝

Mikhail Pashetnykhvor 1 Jahr
@Coldint_ Fix mobile wallet application please.

TAOAgentvor 1 Jahr
@Coldint_ 😻


