Paris 2.0: First Video Generation Model Pre-Trained Through Decentralized Computation
arXiv·medium signal
Presents Paris 2.0, the first video generation model successfully pre-trained through decentralized computation across non-monolithic GPU clusters. Extends decentralized diffusion model training from images to temporally coherent video, achieving competitive results against centralized baselines. Demonstrates that high-quality video generation training no longer requires a single large GPU cluster.