物理 AI 中的存储器
Memory In Physical AI
Cadence 产品管理集团总监 Frank Ferro 在 Semiconductor Engineering 的访谈中解析存储器为何成为物理 AI 的关键要素。人形机器人、自动驾驶汽车和无人机都受电池续航限制，因此需要高效处理、更密集更快速的存储器以及优化的处理器与存储器间数据搬运，LPDDR6 正成为移动边缘智能系统的核心组件。
LPDDR6 becomes an essential ingredient as intelligence moves into autonomous and mobile edge systems.
Humanoid robots, autonomous vehicles, and drones all share one thing in common — they can only function as long as the battery lasts. After that, they need to return to a charger. Today, in the case of humanoid robots, usefulness may only last a few hours per charge. So how can that time be extended? There’s no simple answer because no single component will solve all problems, but the underlying basics remain the same — efficient processing, denser and faster memory, and optimized data movement between processors and memories. Frank Ferro, group director for product management at Cadence, explains why data hierarchies are so critical for physical AI, what can be done on the memory side to speed up read/write times, and how to maximize performance while keeping costs down.
Ed Sperling
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Ed Sperling is the editor in chief of Semiconductor Engineering.
来源： Semiconductor Engineering 芯片与封装 · semiengineering.com