Equipment: MRI: Track 1 Acquisition of NVIDIA DGX H100 GPU system for research and education at VCU

图形处理单元（gpu）已经成为一个重要的计算工具，支持广泛的研究领域。该项目资助购买高性能GPU集群，安装在弗吉尼亚联邦大学（VCU）高性能研究计算（HPRC）核心用户设施中，该设施为研究和教育目的提供全校范围内对高性能计算集群的共享访问。GPU仪器将使22个研究小组的研究和培训活动受益，并影响整个大学的400多名用户。此次收购推进了人工智能、建模和仿真领域的下一代研究，涉及计算机科学、工程、生命科学和物理科学等广泛学科。进一步的好处包括前沿研究、研究生和本科生的研究培训、课程和课程开发、K-12外展影响以及未被充分代表的少数民族的参与。新的资源还将加强跨学科研究，并扩大与当地工业和联邦实验室的跨学科合作活动。收购NVIDIA DGX H100 GPU系统将大大扩展VCU的GPU计算能力，以帮助满足各种科学和工程学科日益增长的高性能计算需求。将受益于该设备的重点研究项目包括高速数据流的机器学习、深度学习和量子机器学习、神经调节（经颅磁刺激和深部脑刺激）、计算化学（量子化学）、半导体光学和缺陷（氮化镓）、利用深度学习的软件漏洞预测、纳米磁性材料和纳米级磁性器件。实时流行病管理架构，安全灵活的医疗物联网基础设施（防止部署在网络边缘组件的网络攻击），以及分离有机分子阳离子的超快速解离动力学。该项目还将支持在计算机科学、工程、物理和化学等前沿跨学科研究领域培训高中生、本科生、研究生和博士后，加强与附近hbcu的现有联系，并扩大K-12少数族裔外展项目。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Graphic Processing Units (GPUs) have become an essential computational tool in support of a wide range of research areas. This project funds the acquisition of a high-performance GPU cluster to be installed at the Virginia Commonwealth University (VCU) High-Performance Research Computing (HPRC) core user facility, which provides shared university-wide access to high-performance computing clusters for research and education purposes. The GPU instrumentation will benefit the research and training activities of 22 research groups and impact 400+ users across the entire university. The acquisition advances next-generation research in artificial intelligence, modeling, and simulations across a broad range of disciplines including computer science, engineering, life sciences, and physical sciences. Further benefits include those to cutting-edge research, research training of graduate and undergraduate students, course and curriculum development, K-12 outreach impacts, and the participation of underrepresented minorities. The new resources will also strengthen interdisciplinary research and broaden collaborative activities across disciplines with local industry and federal laboratories.The acquisition of a NVIDIA DGX H100 GPU system will significantly expand the GPU computing capacity at VCU to help satisfy the increasing high-performance computing demand across various science & engineering disciplines. The key research projects that will benefit from this equipment are in the areas of machine learning for high-speed data streams, deep learning and quantum machine learning, neuromodulation (transcranial magnetic stimulation and deep brain stimulation), computational chemistry (quantum chemistry), optics and defects in semiconductors (gallium nitride), software vulnerability prediction using deep learning, nanomagnetic materials and nanoscale magnetic devices, real-time pandemic management architecture, secure and flexible medical IoT infrastructure (protection from cyberattacks deployed at network edge components), and ultrafast dissociation dynamics of isolated organic molecular cations. This project will also support the training of high-school, undergraduate, graduate students and postdoctoral fellows in cutting-edge interdisciplinary research spanning computer science, engineering, physics, and chemistry, strengthening existing ties with nearby HBCUs, as well as expanding K-12 minority outreach programs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.