While discussing Alpamayo, Nvidia CEO Jensen Huang made a stunning prediction about the future of autonomy: "Everything that moves in the future could be autonomous" 🔥 If you buy into Huang's vision, you instantly realize this exposes the massive $TSLA software moat: FSD 💥 FSD may currently be for cars, but it is primed to transition way beyond four wheels 🛞 It would one day be the definitive 'ANYTHING THAT MOVES' platform, ready to scale effortlessly from vehicles directly to armies of humanoid robots 🆒

We have just released #Alpamayo# 2 Super — @nvidia’s frontier open reasoning model for #autonomous# #vehicles#. NVIDIA Alpamayo 2 Super is an open 34-billion-parameter #reasoning# vision-language-action (#VLA#) model designed to accelerate autonomous vehicle (AV) development. It combines the 32-billion-parameter NVIDIA #Cosmos# 3 Super Reasoner with a 2-billion-parameter diffusion-based Action Expert and is post-trained with #reinforcement# #learning#. Two aspects make Alpamayo 2 Super particularly exciting: 1. Open and commercially deployable: Alpamayo 2 Super is available on Hugging Face under OpenMDW-1.1, the Linux Foundation’s permissive license for open AI model distribution. The OpenMDW license is now being applied across the entire Alpamayo model family, enabling developers to deploy these models commercially without requiring additional permissions. 2. A multi-task foundation model for autonomous driving: Alpamayo 2 Super produces five tightly coupled outputs: - A trajectory describing the vehicle’s planned path. - A chain-of-causation (CoC) trace explaining the reasoning behind each driving decision, achieving benchmark-leading reasoning performance at frontier scale. - A meta-action (e.g., yield, lane change, stop) capturing the model’s intent. - Reasoning auto-labels that generate CoC annotations for training and validation data. - Visual question answering responses with 2D visual grounding, linking answers to specific regions in camera images. These multi-task capabilities enable developers to leverage a single foundation model across more of the development process, simplifying tooling and accelerating iteration. Resources: 🔹 Interview: 🔹 Video: 🔹 Blog: 🔹 Technical blog: 🔹 Hugging Face blog: 🔹 Model weights: 🔹 Inference code: As @JensenHuang has emphasized, open models help advance safety and security. We hope Alpamayo 2 Super will contribute to this vision by enabling researchers and developers around the world to build, experiment, and innovate in autonomous driving. We are excited to see what the community builds with Alpamayo 2 Super. @NVIDIADRIVE @NVIDIAAI

We’ve just released the #Alpamayo# Chain-of-Causation (CoC) Autolabeling Pipeline — a feature that has been highly requested by the community! The pipeline automatically derives: 🔹 Meta-actions: high-level categorical descriptions of ego motion 🔹 Chain-of-causation labels: causal links between scene factors and the ego vehicle’s intended behavior Autolabeling pipeline: Learn more about the Alpamayo open platform: We’re excited to see what the community builds with it, and we hope this tool will help accelerate research in the rapidly growing area of #reasoning# models for #Physical# #AI#. @NVIDIADRIVE @NVIDIAAI

Join us tomorrow for a deep dive into #Alpamayo# 2 Super—our most capable model yet! We’ll unpack the key technologies behind the model, showcase hands-on notebooks to help you get started, and share the latest AlpaSim updates. We’ll also take a closer look at our two ongoing challenges, with prizes up for grabs! Save the date: @NVIDIADRIVE @NVIDIAAI

Today, we’re launching Alpamayo 2 Super, our frontier open reasoning model for autonomous vehicles. Beyond seeing, Alpamayo understands and reasons through the complex world - thinks before it acts. It’s a powerful backbone for robotaxis, trucks, shuttles, delivery vans, tractors and the long tail of mobile robots—billions of autonomous machines someday. We’re releasing it for commercial use under OpenMDW-1.1 so teams can inspect it, fine-tune it and deploy it—open models advance safety and security. The next wave of AI is robotics—and it starts with autonomous vehicles. Great work, Alpamayo team!

Excited to share the latest expansion of the @nvidia #Alpamayo# open platform for reasoning-based autonomous vehicles. Since its launch earlier this year, Alpamayo has seen rapid adoption across industry and academia, with its reasoning models surpassing 400,000 downloads and earning a #COMPUTEX# 2026 Best Choice Award. As announced by Jensen Huang during his #COMPUTEX# keynote, we are now introducing several major additions designed to accelerate the development of next-generation AV systems (more details here: 🚗 Alpamayo 2 Super — a new 32B-parameter driving foundation model with: • Full 360° surround-view perception • Advanced reasoning capabilities and chain-of-causation outputs • Meta-actions such as lane changes, yielding, and stopping • Reasoning auto-labeling and visual grounding for scalable data annotation • State-of-the-art performance across reasoning, prediction, and alignment tasks 🔄 AlpaGym — an open-source framework for closed-loop reinforcement learning, enabling AV models to learn from the consequences of their actions in simulation and helping bridge the gap between training and real-world deployment. 📊 New Open Benchmarks — including challenges for closed-loop driving and long-tail reasoning to help the community measure progress and drive innovation. 🛠️ Alpamayo Recipes — a centralized repository of end-to-end workflows covering supervised fine-tuning, reinforcement learning, quantization, and model customization. Reasoning models and closed-loop training are becoming foundational technologies for autonomous systems. Our goal is to provide the open tools, models, infrastructure, and benchmarks needed to accelerate progress across the entire AV ecosystem. A huge thank you to the many researchers, engineers, and community members whose feedback helped shape this release. Resources: • Overview of the latest Alpamayo release (note: some components will be released over the coming weeks): • @nvidia announcement: #AutonomousVehicles# #PhysicalAI# #Robotics# #AI# #MachineLearning# #ReinforcementLearning# #OpenSource# #NVIDIA# #Alpamayo# @NVIDIADRIVE @NVIDIAAI

Thrilled to personally invite you to the @nvidia #Alpamayo# Summit at #CVPR#! I’ll be opening the event with a talk titled “The ChatGPT Moment for Autonomous Driving” — exploring how reasoning AI is reshaping the entire autonomy stack and accelerating the path toward scalable, safe Level 4 autonomous driving. 📍 June 4, 2026 📍 Le Méridien Denver Downtown (Grove Ballroom) 🕞 3:30 PM — Networking + Snacks 🕓 4:00 PM — Program Begins We’ll cover: • Open datasets • New reasoning models • AlpaSim • Safety frameworks • And much more Join the waitlist here → The event is currently sold out, but you can still join the waitlist. @NVIDIADRIVE @NVIDIAAI

In case you missed it — we did a deep dive into NVIDIA Alpamayo 2 Super, our most capable open reasoning model for robotaxi and L4 AV development yet. During the stream, we walked through the release notebooks live, showed how Alpamayo 2 Super can power auto-labeling pipelines faster and cheaper than GPT-based alternatives, and covered the latest AlpaSim controller updates. Watch the replay →

The future of autonomous vehicles runs on open models. NVIDIA's Matt Cragun joins Harry Campbell on @driverlessguy_ to explain how Alpamayo works, how NVIDIA's hardware and software are accelerating AV development, and the long-tail problem its helping solve. 🎧