--- title: Generate Trajectories, Reasoning Traces, and Auto-Labels... description: NVIDIA Alpamayo 2 Super is an open 34-billion-parameter vision-language-action model for autonomous vehicle development. It combines a 32B reasoning model... canonical: https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super | daily.dev og:description: NVIDIA Alpamayo 2 Super is an open 34-billion-parameter vision-language-action model for autonomous vehicle development. It combines a 32B reasoning model... og:url: https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9 og:image: https://api.daily.dev/og/posts/5SC0TqEq9.png og:image:alt: Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super 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. # Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 13 min read · 0 upvotes · 0 comments ## Summary NVIDIA Alpamayo 2 Super is an open 34-billion-parameter vision-language-action model for autonomous vehicle development. It combines a 32B reasoning model (Cosmos 3 Super) with a 2B diffusion-based Action Expert, post-trained with reinforcement learning. The model handles 360-degree surround-view input from up to seven cameras and produces multiple outputs: future ego-vehicle trajectories, Chain-of-Causation reasoning traces, high-level meta-actions (yield, lane change, stop), visual question answering with 2D grounding, and structured auto-labels for training data. Benchmark results include a LingoQA score of 79.2 (first among 37 models), 0.652 VQA answer similarity vs. 0.450 for Qwen3-VL 32B, and an AlpaSim closed-loop score of 1.50. The model is released under OpenMDW-1.1 permissive license allowing fine-tuning and commercial redistribution. Inference notebooks are available on GitHub and weights on Hugging Face. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Nvidia launches Alpamayo, open AI models that allow autonomous vehicles to ‘think like a human’](https://daily.dev/posts/nvidia-launches-alpamayo-open-ai-models-that-allow-autonomous-vehicles-to-think-like-a-human--9skkzpk7x) · TechCrunch · 0 upvotes · 0 comments - [Building Autonomous Vehicles That Reason with NVIDIA Alpamayo](https://daily.dev/posts/building-autonomous-vehicles-that-reason-with-nvidia-alpamayo-busbkymhb) · NVIDIA Developer · 0 upvotes · 0 comments - [AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving](https://daily.dev/posts/alpamayor1-large-causal-reasoning-models-for-autonomous-driving-xdvgot0xf) · Towards Data Science · 1 upvotes · 0 comments --- Tags: [#nvidia](https://daily.dev/tags/nvidia), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning) [View this post on daily.dev](https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9) ```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":"Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super","url":"https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9"},"datePublished":"2026-08-04T15:02:48.384Z","dateModified":"2026-08-04T16:23:10.968Z","description":"NVIDIA Alpamayo 2 Super is an open 34-billion-parameter vision-language-action model for autonomous vehicle development. It combines a 32B reasoning model...","image":"https://media.daily.dev/image/upload/s--P4t4XyoV--/f_auto/v1722860399/public/Placeholder%2001","thumbnailUrl":"https://media.daily.dev/image/upload/s--P4t4XyoV--/f_auto/v1722860399/public/Placeholder%2001","isAccessibleForFree":true,"articleSection":"NVIDIA Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"NVIDIA Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/86e45aab42ba48ce83103d01b1119910","url":"https://daily.dev/sources/nvidiadev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-5sc0tqeq9","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"nvidia,reinforcement-learning","timeRequired":"PT13M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"NVIDIA Developer","item":"https://daily.dev/sources/nvidiadev"},{"@type":"ListItem","position":3,"name":"Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super"}]} ```