Vision-Centric Generative AI Models: A Software-Hardware Perspective 以视觉为中心的生成式AI模型:软硬件视角
arXiv:2608.27199 · 2026-08-27T14:41:50Z
This perspective maps vision-generative model families to deployment domains and compares their parameter cost and energy efficiency across accelerator platforms. It argues that edge uses such as vehicles, sensors, and mobile devices require software-hardware co-design from the outset, rather than adapting hardware after models have already grown. 该观点论文将视觉生成模型家族映射到不同部署领域,并比较其在多类加速器平台上的参数成本和能效。论文认为,车辆、传感器和移动设备等边缘应用需要从一开始就进行软硬件协同设计,而不是在模型规模增长后再被动调整硬件。