Hewlett Packard Enterprise announced that the High-Performance Computing Center of the University of Stuttgart (HLRS) in Germany has selected a new Cray CS-Storm GPU-accelerated supercomputer to advance its computing infrastructure in response to user demand for processing-intensive applications like machine learning and deep learning. The new Cray system is tailored for artificial intelligence (AI) and includes the Cray Urika-CS AI and Analytics suite, enabling HLRS to accelerate AI workloads, arm users to address complex computing problems and process more data with higher accuracy of AI models in engineering, automotive, energy, and environmental industries and academia. Supercomputer users at HLRS are increasingly asking for access to systems containing AI acceleration capabilities. With the GPU-accelerated CS-Storm system and Urika-CS AI and Analytics suite, which leverages popular machine intelligence frameworks like TensorFlow and PyTorch, HLRS can provide machine learning and deep learning services to its leading teaching and training programs, global partners and R&D. The Urika-CS AI and Analytics suite includes Cray Hyperparameter Optimization (HPO) and Cray Programming Environment Deep Learning Plugin, arming system users with the full potential of deep learning and advancing the services HLRS offers to its users interested in data analytics, machine learning and related fields. In addition to the Cray CS-Storm architecture and Cray-CS AI and Analytics suite, the system will feature NVIDIA V100 Tensor Core GPUs and Intel Xeon Scalable processors. The system is scheduled for delivery to HLRS in November 2019.