What if you could hear what your car is thinking? 💭 This NVIDIA Alpamayo demo gives voice to the internal reasoning behind an autonomous drive — showing how the vehicle evaluates the road, plans its next move and adapts to city traffic while the driver enjoys the ride. Watch the demo 👉 https://nvda.ws/4fdfttU
NVIDIA DRIVE
Computer Hardware Manufacturing
Santa Clara, California 78,303 followers
Transforming the automotive industry and the future of mobility with AI and accelerated computing.
About us
From designing and visualizing vehicles, to training autonomous systems and building immersive virtual showrooms and factory digital twins, NVIDIA is redefining every stage of the automotive experience. Powered by AI, Omniverse™, and accelerated computing, we're driving innovation that’s shaping the future of mobility.
- Website
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https://www.nvidia.com/en-us/industries/automotive/
External link for NVIDIA DRIVE
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, California
- Specialties
- autonomous vehicles, self-driving cars, deep learning, automotive technology, and artificial intelligence
Updates
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Open-loop training can miss what happens after an AV model acts. This technical blog shows how closed-loop post-training with NVIDIA Alpamayo helps AV policies learn from simulator feedback, surfacing compounding errors and failure modes that static datasets may miss. Read the blog: https://nvda.ws/4x7YmAj
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We're announcing a major expansion of NVIDIA DRIVE Hyperion ecosystem, the robotaxi-ready platform built for global level 4-ready fleets. HUMAIN, VINFAST with Autobrains Technologies, and Uber with Autobrains are working to bring DRIVE Hyperion-powered robotaxi programs across Southeast Asia, the Middle East, and Europe. Built on NVIDIA Halos, DRIVE AGX, DriveOS, a compatible multimodal sensor suite and DRIVE AV software, DRIVE Hyperion brings compute, sensors and safety software together on one common foundation for autonomous mobility. Read the #NVIDIAGTC Announcement → https://nvda.ws/4vkTwOi
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We're introducing NVIDIA Alpamayo 2 Super, an open 32-billion-parameter reasoning VLA model for safe, scalable level 4 robotaxis development. As our most powerful open model to date, Alpamayo 2 Super is designed to reason, plan and act across the full driving stack, with 360-degree perception, reasoning auto-labeling and 2D grounding for maximal scene understanding. The #NVIDIAGTC Taipei announcement also includes NVIDIA AlpaGym for closed-loop reinforcement learning, NVIDIA OmniDreams for photorealistic AV scenario generation and physical AI agent skills for autonomous vehicle development. Learn more → https://nvda.ws/4fnYd5n
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Heading to #CVPR2026? The Alpamayo Summit is currently at capacity, but you can still join the waitlist for a chance to attend this half-day workshop on Alpamayo, AlpaSim, the Physical AI AV dataset, and more. Registered attendees will receive access to the replay. Join the waitlist: https://nvda.ws/4wJN3hl
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Have you seen Geely's new Zeekr 8X? 🚗 Hear from the GEELY - Zeekr International team as they introduce the 8X, a flagship SUV built for L4 autonomous driving, and explain how NVIDIA DRIVE Thor powers its advanced autonomous driving capabilities.
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The future of robotaxis runs on reasoning. NVIDIA Alpamayo helps developers build reasoning-based autonomous vehicle models for level 4 robotaxis, using open VLA models, simulation and physical AI datasets – enabling vehicles to safely navigate complex driving scenarios. Learn more 👉 https://nvda.ws/4dKfvqV
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Autonomous vehicle technology is advancing at an unprecedented pace. Marco Pavone, Senior Director of Autonomous Vehicle Research at NVIDIA, breaks down how AI is enabling developers to completely rethink how autonomous systems are built. 📺 Watch the full video: https://nvda.ws/3Pzt9oE