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NVIDIA has released a video of its new reasoning-based autonomous vehicle platform, called Alpamayo, navigating around San Francisco with zero interventions.

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Nic Cruz Patane

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72,433 Aufrufe • vor 6 Monaten •via X (Twitter)

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Nvidia has released a new video of CEO Jensen Huang taking a 2.5 hour ride across San Fransisco in a Mercedes using Nvidia's Alpamayo autonomous driving system. Jensen: "The two of us were just talking and enjoying San Francisco. This is the way transportation should be. 100% comfortable and 100% confident. Completely revolutionary."
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Nvidia has released a new video of CEO Jensen Huang taking a 2.5 hour ride across San Fransisco in a Mercedes using Nvidia's Alpamayo autonomous driving system. Jensen: "The two of us were just talking and enjoying San Francisco. This is the way transportation should be. 100% comfortable and 100% confident. Completely revolutionary."

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$NVDA released a new video showing Jensen Huang taking a 2.5-hour ride across San Francisco in a Mercedes using its Alpamayo autonomous driving system. Jensen called the experience “100% comfortable” & “100% confident” as he discussed the tech behind next-generation autonomy.
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$NVDA released a new video showing Jensen Huang taking a 2.5-hour ride across San Francisco in a Mercedes using its Alpamayo autonomous driving system. Jensen called the experience “100% comfortable” & “100% confident” as he discussed the tech behind next-generation autonomy.

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NVIDIA CEO Jensen Huang just announced the launch of: Alpamayo “the world's first thinking, reasoning model for autonomous vehicles”
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NVIDIA CEO Jensen Huang just announced the launch of: Alpamayo “the world's first thinking, reasoning model for autonomous vehicles”

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The next frontier of autonomous driving is unlocked by reasoning models. NVIDIA Alpamayo brings together open AI models with reasoning capabilities, closed-loop simulation tools, and massive real-world driving datasets. Alpamayo 1 is a vision–language–action model that explains its own decisions through explicit reasoning traces, enabling trustworthy, humanlike decision-making. Together with NVIDIA’s Physical AI dataset and AlpaSim simulation, Alpamayo provides the tools and scale required to enable level 4 autonomous vehicles. ▶️ Watch now:
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The next frontier of autonomous driving is unlocked by reasoning models. NVIDIA Alpamayo brings together open AI models with reasoning capabilities, closed-loop simulation tools, and massive real-world driving datasets. Alpamayo 1 is a vision–language–action model that explains its own decisions through explicit reasoning traces, enabling trustworthy, humanlike decision-making. Together with NVIDIA’s Physical AI dataset and AlpaSim simulation, Alpamayo provides the tools and scale required to enable level 4 autonomous vehicles. ▶️ Watch now:

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This is Nvidia’s end to end autonomous vehicle model running in a Mercedes car going point to point through San Francisco with no interventions, one shot
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This is Nvidia’s end to end autonomous vehicle model running in a Mercedes car going point to point through San Francisco with no interventions, one shot

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$NVDA CEO Jensen Huang just announced Alpamayo which he calls the world’s first thinking and reasoning model built for autonomous vehicles. By open sourcing the Alpamayo stack, Nvidia is pushing self driving forward as a category after years of work by thousands of engineers.
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$NVDA CEO Jensen Huang just announced Alpamayo which he calls the world’s first thinking and reasoning model built for autonomous vehicles. By open sourcing the Alpamayo stack, Nvidia is pushing self driving forward as a category after years of work by thousands of engineers.

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💨 How fast can an autonomous vehicle think? With Alpamayo 1, NVIDIA's 10B-parameter chain-of-thought reasoning model, the distilled version can reason in real time. Hear Marco Pavone (Marco Pavone), Yan Wang, Yurong You, and Wenhao Ding from our AV Research team break down Alpamayo 1 and what's next for reasoning in autonomous driving. 🔁 Watch the replay:
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💨 How fast can an autonomous vehicle think? With Alpamayo 1, NVIDIA's 10B-parameter chain-of-thought reasoning model, the distilled version can reason in real time. Hear Marco Pavone (Marco Pavone), Yan Wang, Yurong You, and Wenhao Ding from our AV Research team break down Alpamayo 1 and what's next for reasoning in autonomous driving. 🔁 Watch the replay:

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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."
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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."

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At #CES2026, we spoke with Kai Stepper, VP of ADAS and Autonomous Driving at Lucid Motors, about their production-intent robotaxi built on the NVIDIA DRIVE Hyperion platform. He also shared why Alpamayo’s open, reasoning-based approach is an important step forward for the future of autonomous driving.
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NVIDIA released a video showing their new Alpamayo In-Car Reasoning Model. An AI that explains decisions, responds to passengers, and drives. How it works: • Verbalized Reasoning: In complex situations, the car selectively explains its reasoning aloud, giving passengers insight into the Al's decisions and helping to build trust. • Natural Language Q&A: Riders can ask questions about the car's behavior or the surrounding environment, and Alpamayo responds in real time. • Language Instructions and Commands: Passengers can request actions such as changing lanes, speeding up, taking a detour, or pulling over, and Alpamayo performs them naturally.
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