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From NVIDIA Alpamayo 1 to NVIDIA Alpamayo 1.5: Making Reasoning VLAs More Powerful and Customizable 🤖 Popular Use Cases of Alpamayo 1.5 Reasoning Through the NVIDIA Physical AI AV Dataset ✨ Key Highlights of this New Release 🤖 Popular Use Cases of the PhysicalAI-AV Data and Labeling Pipeline NVIDIA AlpaSim: Even More Flexible Closed-Loop AV Simulation ✨ Key Highlights of this New Release 🤖 Popular Use Cases of AlpaSim Conclusion Resources
NVIDIA today announced a significant expansion of the Alpamayo open platform for developing reasoning-based autonomous vehicles (AVs). First introduced at CES 2026, the Alpamayo open platform provides researchers and developers with a flexible, high-performance, and scalable suite of models, datasets, and simulation tools for evaluating and training modern reasoning-based AV stacks in realistic closed-loop settings.
Since its launch, the Alpamayo open platform has seen rapid adoption across both industry and academia, with more than 100,000 AV researchers and developers worldwide downloading the Alpamayo 1 AV reasoning model. Based in part on feedback from the community, we are introducing several enhancements to the Alpamayo platform across models, data, and simulation. Collectively, these additions enable developers to build AV stacks with more powerful reasoning models, evaluate them more flexibly, and expand their datasets with additional reasoning-focused data.
