--- title: NVIDIA Cosmos Opens New Tools to Train, Evaluate and... description: NVIDIA has expanded its Cosmos platform with new tools for training, evaluating and deploying world models for physical AI. Cosmos Data Factory adds five... canonical: https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models | daily.dev og:description: NVIDIA has expanded its Cosmos platform with new tools for training, evaluating and deploying world models for physical AI. Cosmos Data Factory adds five... og:url: https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw og:image: https://api.daily.dev/og/posts/i61wzilHW.png og:image:alt: NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models **[NVIDIA](https://daily.dev/sources/nvidia)** · 4 min read · 0 upvotes · 0 comments ## Summary NVIDIA has expanded its Cosmos platform with new tools for training, evaluating and deploying world models for physical AI. Cosmos Data Factory adds five cloud-native blueprints for data curation and synthetic data generation, available via GitHub, Microsoft Azure, Nebius and CoreWeave. Porsche is leading a shared AV data flywheel using Cosmos Data Factory through Voxel51 on Microsoft Azure, which is expected to reduce repeated physical test drives by up to 90% and shorten development cycle times by up to 85%. MicroAGI distilled a 32-billion-parameter Cosmos 3 reasoner into an 8-billion-parameter Nano model with no loss in accuracy, and updated Cosmos 3 NIM microservices deliver up to 2x faster inference with no quality loss in validated configurations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much faster is inference with the updated NVIDIA Cosmos 3 NIM microservices? Updated NVIDIA Cosmos 3 NIM microservices deliver up to 2x faster inference with no quality loss in validated configurations. They also enable continuous video analysis with sub-second alerts, and the NVIDIA Metropolis VSS Blueprint 3.3 built on these microservices helps teams monitor 40% more video streams using the same GPU. _Teams scaling video AI inference can track NVIDIA Cosmos NIM benchmarks on daily.dev._ ### How did MicroAGI shrink its Cosmos 3 model for robotics without losing accuracy? MicroAGI post-trained Cosmos 3 on videos of humans manipulating objects, then distilled its 32-billion-parameter reasoner down to an 8-billion-parameter Nano model with no loss in accuracy. This specialized the model for egocentric manipulation tasks in robotics. _Developers evaluating model distillation tradeoffs follow robotics AI case studies on daily.dev._ ### What open models can be fine-tuned with NVIDIA Cosmos Framework? NVIDIA Cosmos Framework supports fine-tuning and reinforcement learning for open models including GR00T, Alpamayo, QWEN, Pi0.5 and other compatible Hugging Face models. It also offers optimization via distillation and quantization before deploying with high-performing inference. _Developers choosing among open robotics models can keep up with Cosmos Framework updates on daily.dev._ ## Similar posts on daily.dev - [How to Scale Data Generation for Physical AI with the NVIDIA Cosmos Cookbook](https://daily.dev/posts/how-to-scale-data-generation-for-physical-ai-with-the-nvidia-cosmos-cookbook-5wuqobudk) · NVIDIA Developer · 0 upvotes · 0 comments - [Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era](https://daily.dev/posts/into-the-omniverse-nvidia-gtc-showcases-virtual-worlds-powering-the-physical-ai-era-z0vlseat7) · NVIDIA · 0 upvotes · 0 comments - [Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart](https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh) · AWS · 1 upvotes · 1 comments --- Tags: [#robotics](https://daily.dev/tags/robotics), [#world-models](https://daily.dev/tags/world-models) [View this post on daily.dev](https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models","url":"https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw"},"datePublished":"2026-10-22T05:51:46.368Z","dateModified":"2026-10-22T06:06:03.047Z","description":"NVIDIA has expanded its Cosmos platform with new tools for training, evaluating and deploying world models for physical AI. 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