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