From helping to build smart cities to developing AI algorithms that think like scientists, KAUST is the largest research centre in the Middle East that brings together faculty, researchers and graduate students to leverage the interconnectedness of science and engineering. With an 8:2 ratio of GPUs to CPUs, the new Cray CS-Storm 500NX supercomputer will meet KAUST's most demanding computing requirements for production scalability, while also delivering a low total cost of ownership. Engineered for the convergence of modelling, simulation and analytics, the CS-Storm fast-started KAUST's AI journey and provides researchers and scientists the highly-advanced supercomputing and software capabilities required to analyze large volumes of data for rapid insight, where simulation alone is unsatisfactory for predicting real-world outcomes.
"Cray is honoured to support KAUST's digital transformation agenda and tradition of science and technology excellence", stated Peter Ungaro, president and CEO at Cray, a Hewlett Packard Enterprise company. "KAUST is beginning to apply more analytics and AI methods into its core research areas and converged workloads such as seismic simulation, machine learning and scientific computing, which require significant compute power and software optimization. The Cray-CS Storm is a production workhorse for accelerated, converged workload environments and will help drive KAUST's AI initiatives in the exascale era."
The Cray CS-Storm 500NX enables larger models and faster results for AI and deep learning neural network training. The system uses NVLink technology to tightly couple the NVIDIA GPUs together, providing a high-speed interconnect that enables ultra-fast communication between the GPUs, and allowing data rates at 5 to 12 times faster than traditional PCIe Gen3. KAUST's new system will feature NVIDIA V100 Tensor Core GPUs, 2nd Generation Intel Xeon Scalable Processors and the Mellanox ConnectX-6 HDR-100 Dual-Port VPI adapter.
"Cray's new GPU-accelerated system at KAUST is ideally suited to supporting the universitys increasingly converged workloads", stated Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. "NVIDIA's GPU computing platform delivers groundbreaking AI performance and, together with the CS-Storm, is poised to help KAUST solve some of the world's most pressing challenges."