# NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models

DevFeed: [NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models](<https://devfeed.tech/articles/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-95042.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/cosmos-open-train-evaluate-deploy-world-models/>)

Author: Pranjali Joshi

Published: 2026-10-22T05:00:27Z

Content type: release

Language: en

Sources: [NVIDIA](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Metropolis](<https://devfeed.tech/topics/metropolis.md>), [NVIDIA NIM](<https://devfeed.tech/topics/nvidia-nim.md>), [Robotics Simulation](<https://devfeed.tech/topics/robotics-simulation.md>), [World models](<https://devfeed.tech/topics/world-models.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [azure](<https://devfeed.tech/tags/azure.md>), [blueprints](<https://devfeed.tech/tags/blueprints.md>), [cloud-native](<https://devfeed.tech/tags/cloud-native.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [data](<https://devfeed.tech/tags/data.md>), [data-augmentation](<https://devfeed.tech/tags/data-augmentation.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [factory](<https://devfeed.tech/tags/factory.md>), [gtc-2026](<https://devfeed.tech/tags/gtc-2026.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [train](<https://devfeed.tech/tags/train.md>), [training](<https://devfeed.tech/tags/training.md>), [world-models](<https://devfeed.tech/tags/world-models.md>)

## AI overview

NVIDIA's Cosmos platform combines data preparation, model training and optimization, simulation, and deployment tools for physical AI. Cosmos Data Factory offers five cloud-native blueprints for curating, augmenting, and generating image or video data; Cosmos Curator now supports multimodal, multisensory inputs. Developers can fine-tune and use reinforcement learning with compatible open models, then apply distillation and quantization. New Cosmos 3 Nano simulation variants support repeatable testing of autonomous policies, while updated Cosmos 3 NIM microservices report up to 2x faster inference with no quality loss in validated configurations. Reported uses include Porsche's shared AV data workflow, with projected reductions of up to 90% in repeated test drives and 85% in development cycle time, and ANYbotics' generation of over 1,500 synthetic inspection clips. These outcomes are examples from the excerpt, not guarantees for other deployments.

## Source excerpt

To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints. Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open [...]