NVIDIA 发布车载边缘推理驾驶模型 Alpamayo 2 Edge
原标题：Running AV Reasoning Models Within Onboard Compute and Latency Limits
AI 摘要
NVIDIA 发布 Alpamayo 2 Edge，一款面向车载实时运行的自适应推理视觉-语言-动作（VLA）模型，基于 2B Nemotron 推理骨干与扩散动作专家，可在 NVIDIA DRIVE AGX Thor 上运行。该模型通过自适应推理、离线蒸馏、AlpaGym 闭环强化学习后训练及 DFlash2 投机解码等优化，在闭环驾驶性能上较最佳基线提升 48.9%。NVIDIA 同时介绍 AlpaJudge 评估与奖励模型，用于衡量推理质量、筛选训练数据并提供 RL 奖励。
正文节选
Autonomous vehicle (AV) developers need reasoning models that can operate within the compute and latency constraints of an onboard system. Larger models provide a foundation for developing these capabilities, but moving them into a vehicle requires additional work to reduce model size, preserve useful reasoning, and validate performance on the target hardware. NVIDIA Alpamayo 2 Edge addresses this need with an adaptive reasoning vision-language-action (VLA) model designed for real-time operation