Ocean eddies play a significant role both on the sea surface and beneath it, contributing to the sustainability of marine life dependent on oceanic behaviors. Therefore, it is crucial to investigate ocean eddies to monitor changes in the Earth, particularly in the oceans, and their impact on climate. This study aims to pinpoint ocean eddies using AWS cloud services, specifically SageMaker. The primary objective is to detect small-scale (<20km) ocean eddies from satellite remote images and assess the feasibility of utilizing SageMaker, which offers tools for deploying AI applications. Moreover, this research not only explores the deployment of cloud-based services for remote sensing of Earth data but also evaluates several YOLO (You Only Look Once) models using single and multi-GPU-based services in the cloud. Furthermore, this study underscores the potential of these services, their limitations, challenges related to deployment and resource management, and their user-riendliness for Earth science projects.

翻译：海洋涡旋在海面及海面以下均发挥着重要作用，对依赖海洋行为的生物可持续性具有关键影响。因此，研究海洋涡旋对于监测地球（特别是海洋）变化及其对气候的影响至关重要。本研究利用AWS云服务（尤其是SageMaker）定位海洋涡旋，主要目标是从卫星遥感图像中检测小尺度（<20km）海洋涡旋，并评估利用SageMaker提供的人工智能应用部署工具的可行性。此外，本研究不仅探索了基于云服务的遥感地球数据部署方案，还通过云端的单GPU和多GPU服务评估了多种YOLO（You Only Look Once）模型。同时，本研究进一步揭示了这些服务在地球科学项目中的潜力、局限性、部署与资源管理的相关挑战，以及其用户友好性。