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English(EN) PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud

PhyAI引擎统一边缘和云端的物理AI推理

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了PhyAI，这是一个统一的推理引擎，旨在简化物理AI模型在各种平台上的部署，包括边缘设备和云环境。这个单一运行时旨在保持一致的检查点和动作语义，同时通过特定模型的适配器优化性能。PhyAI在几种视觉-语言-动作和世界-动作模型上展示了比现有实现显著的速度提升，尽管在某些配置下专用运行时可能仍提供更优越的性能。该引擎的架构允许在GPU上高效执行，详细的性能分析揭示了与延迟和不同模型生成主导相关的性能瓶颈。 AI

影响 简化了物理AI模型的部署，可能加速边缘AI的采用和研究。

排序理由 该项目是一篇详细介绍新型AI推理引擎的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

PhyAI引擎统一边缘和云端的物理AI推理

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该项目是一篇详细介绍新型AI推理引擎的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Chenghua Wang, Daliang Xu, Dongqi Cai, Duojin Sun, Hao Zhang, Haoze Qian, Huaiyuan Zhang, Jinshuo Cui, Kezhao Zhao, Longxi Gao, Mengwei Xu, Rongjie Yi, Tianyue Zhang, Weikai Xie, Xiyuan Tan, Xuanzhe Liu, Yingying Qin, Yiwen Lu, Yuan Yao, Yuezhi Zu, Yunha… ·

    PhyAI：边缘实时物理AI，云端可扩展部署

    arXiv:2608.03682v1 Announce Type: new Abstract: Physical AI policies require inference throughout their lifecycle, including model evaluation, cloud reinforcement learning rollout, edge GPU serving, and onboard deployment. Although these settings share the same checkpoint and act…

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