运行边缘应用程序开发的 AI 模型，仅限少数命令

AI正在超越数据中心，因为开发者正在打造新一代的agents以在边缘采取行动：监测驾驶员的注意力和舱位条件，帮助机器人了解他们的周围环境并计划任务，协调生产线上的机器车队。 这些物理AI应用依赖于能感知，理性的模型，并且在紧凑的内存，动力，和耐久性预算范围内发挥作用。

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AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions, helping robots understand their surroundings and plan tasks, and coordinating fleets of machines on production lines. These physical AI applications rely on models that perceive, reason, and act within tight memory, power, and latency budgets.

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