NVIDIA’s Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers

In this tutorial, we explore NVIDIA's cosmos-framework from a practical Colab angle while staying honest about the hardware needed for real Cosmos 3 checkpoints. We probe the runtime, then use the framework's real structure, CLI surface, and input schema as a foundation.

We build and train a compact omnimodal Mixture-of-Transformers that shares cross-modal attention while routing each modality to its own expert. Using synthetic physical-world data and an autoregressive rollout, we show how the model predicts future latent states across text, vision, and action.