Nous Research has released DisTrO, a system of distributed optimizers that significantly reduces inter-GPU communication, allowing for efficient training of large neural networks on slower internet connections. It also minimizes dependency on a single entity for computation, promoting a more secure and equitable environment for training LLMs.

pre-training is back bby!

Nous Research has released DisTrO, a system of distributed optimizers that significantly reduces inter-GPU communication, allowing for efficient training of large neural networks on slower internet connections. It also minimizes dependency on a single entity for computation, promoting a more secure and equitable environment for training LLMs.

pre-training is back bby! 

https://github.com/NousResearch/DisTrO

DisTrO system from Nous Research enables efficient training on slow connections, promoting security and equity. Great development for decentralized computation