To support rapid AI advances and broaden access to large-scale computing resources for under-resourced institutions at the Mid-South, we established the first regional mid-scale GPU cluster at the University of Memphis (UofM), iTiger. We present and analyze efforts of infrastructure management and computational support for educators, students, and researchers across scientific and engineering disciplines, such as precision agriculture, smart transportation, and health informatics. We outline our initiatives to broaden cluster adoption on research and education, such as seed grant programs, workshop trainings, course integration, and other outreach activities. We also identify challenges and further discuss findings of GPU infrastructure adoptions among college students and multidisciplinary researchers. The insights will indicate how to effectively and broaden infrastructure adoption and integrate into research and workforce developments.

翻译：为支持人工智能的快速发展，并扩大中南地区资源匮乏机构对大规模计算资源的获取，我们在孟菲斯大学（UofM）建立了首个区域中规模GPU集群——iTiger。本文介绍并分析了跨科学与工程学科（如精准农业、智能交通和健康信息学）的教育工作者、学生及研究人员在基础设施管理与计算支持方面的努力。我们概述了促进集群在研究及教育中广泛采纳的举措，包括种子基金项目、研讨会培训、课程整合及其他推广活动。同时，本文识别了相关挑战，并进一步讨论了大学生及多学科研究人员在GPU基础设施采纳过程中的发现。这些见解将揭示如何有效地扩大基础设施采纳，并将其融入研究与人才发展之中。