--- title: Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now... description: NVIDIA's Cosmos 3 family of open, frontier omnimodal world models for physical AI is now available on Amazon SageMaker JumpStart. The family includes... canonical: https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart | daily.dev og:description: NVIDIA's Cosmos 3 family of open, frontier omnimodal world models for physical AI is now available on Amazon SageMaker JumpStart. The family includes... og:url: https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh og:image: https://api.daily.dev/og/posts/4Ec9r48ZH.png og:image:alt: Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart 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. # Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart **[AWS](https://daily.dev/sources/aws)** · 2 min read · 1 upvotes · 1 comments ## Summary NVIDIA's Cosmos 3 family of open, frontier omnimodal world models for physical AI is now available on Amazon SageMaker JumpStart. The family includes Cosmos3-Edge (4B parameters, for on-device robot control and real-time reasoning on Jetson Thor edge hardware), Cosmos3-Nano (16B parameters, physics-aware world generation supporting text/image/video/audio inputs), and Cosmos3-Super (64B parameters, highest-fidelity world generation and simulation using a Mixture-of-Transformers architecture). Customers can deploy any of these models with a few clicks via the SageMaker JumpStart console or Python SDK for use cases like robotics, autonomous vehicles, and vision AI. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the parameter sizes and specs of the NVIDIA Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models? Cosmos3-Edge has 4B parameters (with a 2B Nemotron-based reasoner) and runs on-device at 640x360 resolution, generating 32 actions per inference at 15 Hz on NVIDIA Jetson Thor, supporting 256p and 480p video at 12-30 FPS. Cosmos3-Nano has 16B parameters and supports chain-of-thought reasoning up to 720p. Cosmos3-Super has 64B parameters using a Mixture-of-Transformers architecture, supporting up to 720p across multiple aspect ratios. _Track new foundation model releases like Cosmos3 as they land in cloud ML catalogs on daily.dev._ ### How do I deploy NVIDIA Cosmos3 models on Amazon SageMaker? Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super can be deployed directly from the SageMaker JumpStart model catalog in the SageMaker console with a few clicks, or programmatically through the SageMaker Python SDK. Full deployment guidance is available in the Amazon SageMaker JumpStart documentation covering how to configure and use foundation models within an AWS account. _Developers deploying foundation models on SageMaker can follow releases like this via daily.dev._ ## Community discussion Top comments from developers on daily.dev. **@trevorsuna** · 0 upvotes > The family split is practical: on-device control, mid-sized world generation, and high-fidelity simulation have very different latency and cost envelopes. The important benchmark will be end-to-end robotics loops, including sensor transfer and deployment startup, rather than model quality in isolation. ## Similar posts on daily.dev - [NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models](https://daily.dev/posts/nvidia-cosmos-opens-new-tools-to-train-evaluate-and-deploy-world-models-i61wzilhw) · NVIDIA · 0 upvotes · 0 comments - [Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control](https://daily.dev/posts/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control-r7vd07xq2) · NVIDIA Developer · 0 upvotes · 0 comments - [LocateAnything-3B, Qwen-AgentWorld-35B-A3B, and Qwen3.5-122B-A10B models now available on Amazon SageMaker JumpStart](https://daily.dev/posts/locateanything-3b-qwen-agentworld-35b-a3b-and-qwen3-5-122b-a10b-models-now-available-on-amazon-sag-wzuczap31) · AWS · 2 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#aws](https://daily.dev/tags/aws), [#nvidia](https://daily.dev/tags/nvidia), [#robotics](https://daily.dev/tags/robotics) [View this post on daily.dev](https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh) ```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":"Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart","url":"https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh"},"datePublished":"2026-08-28T00:07:52.793Z","dateModified":"2026-09-13T21:36:01.326Z","description":"NVIDIA's Cosmos 3 family of open, frontier omnimodal world models for physical AI is now available on Amazon SageMaker JumpStart. 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The important benchmark will be end-to-end robotics loops, including sensor transfer and deployment startup, rather than model quality in isolation.","datePublished":"2026-08-28T13:47:43.153Z","url":"https://daily.dev/posts/4Ec9r48ZH#c-ypgdgAoEj","author":{"@type":"Person","name":"Trevor Suna","url":"https://daily.dev/trevorsuna","image":"https://media.daily.dev/image/upload/s--dZ7gXxpp--/f_auto/v1784081551/avatars/avatar_EMoP47rpuw8DNjhp6R1b6?_a=BAMAMicg0"}}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/cosmos3-edge-cosmos3-nano-and-cosmos3-super-models-now-available-on-amazon-sagemaker-jumpstart-4ec9r48zh#faq","mainEntity":[{"@type":"Question","name":"What are the parameter sizes and specs of the NVIDIA Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models?","acceptedAnswer":{"@type":"Answer","text":"Cosmos3-Edge has 4B parameters (with a 2B Nemotron-based reasoner) and runs on-device at 640x360 resolution, generating 32 actions per inference at 15 Hz on NVIDIA Jetson Thor, supporting 256p and 480p video at 12-30 FPS. 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