KAUST Selects HPE to Build the Middle East’s Most Powerful Supercomputer
Hewlett Packard Enterprise (NYSE: HPE) has been chosen by King Abdullah University of Science and Technology (KAUST) to develop the Shaheen III supercomputer, set to be the most powerful in the Middle East. Shaheen III will be 20 times faster than its predecessor, enhancing research in critical areas such as clean combustion, Red Sea ecosystems, and climate modeling. Utilizing HPE Cray EX technology, it aims to support AI-at-scale and complex scientific research. The supercomputer is expected to be operational in 2023 and will significantly boost KAUST's capacity for data processing and model generation.
- Shaheen III will be 20 times faster than the existing system, increasing computational capacity.
- The supercomputer will support significant scientific advancements in energy, environment, and healthcare.
- It will enhance KAUST's AI capabilities, allowing for more accurate model training and research.
- The implementation of advanced technologies like NVIDIA Grace Hopper Superchips will foster novel techniques in AI.
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Shaheen III will help advance insights in areas including clean combustion,
Supercomputing capacity has become increasingly vital to global innovation, industry competitiveness and economic growth. From accelerating vaccine discovery to fight a pandemic, advancing clean energy systems to increase sustainability, to enabling new possibilities in AI, supercomputing is a core technology to solving the world’s most challenging scientific and engineering problems.
Shaheen III ushers in a new era of scientific discovery and AI innovation for the
Shaheen III, set to be 20 times faster than KAUST’s existing system, will be the most powerful supercomputer in the
Shaheen III will be built using the HPE Cray EX supercomputer, a next-generation platform architected to support unprecedented performance and scale, including achieving exaflop speed. The HPE Cray EX supercomputer, which delivers advanced end-to-end capabilities in compute and accelerated compute, networking, storage and software solutions, allows KAUST to apply significant computational power toward modeling and simulating scientific problems faster and with higher accuracy.
HPE’s supercomputing capabilities also enable AI-at-scale by combining its massive computing power and specialized capabilities that are required to build machine learning models and train large amounts of data. With the Shaheen III design, HPE is further fueling KAUST’s AI-at-scale mission by integrating the HPE Machine Learning Development Environment, an optimized software stack for model training and development. By combining the machine learning software platform with key supercomputing technologies, KAUST’s users can easily develop and train AI models faster, and bigger, for increased accuracy.
“At HPE, our purpose is to advance the way people live and work, and we are honored to help fuel Saudi Arabia’s Vision 2030 for a new era of innovation by empowering KAUST with a state-of-the-art supercomputer,” said
“The new HPE Cray EX system will allow us to conduct research on a larger scale, resulting in significant scientific, economic and social advances,” said Dr.
Accelerating research and developments in energy, environment, healthcare and bioengineering
Shaheen III will be fully operational in 2023. The new supercomputer will process unique data sets in focus areas such as clean combustion,
Equipped with more than 2,800 NVIDIA Grace Hopper Superchips, tightly coupled CPU/GPU accelerators, the Shaheen supercomputer will enable the development of novel and scalable techniques in core AI fields such as deep learning, reinforcement learning, federated learning, visual computing, and natural language processing, and also provide unique opportunities to further scale traditional HPC workloads. This GPU-accelerated partition will also facilitate the broad use of applied AI in science and engineering applications, including computational chemistry, biology and material science, which previously were unfeasible given the large-scale nature of data sets produced and used at KAUST. Applications will increase in coming years as Shaheen III is expected to deliver 100 petaflop/s of performance and outstanding AI modelling capabilities.
“A supercomputer like Shaheen III is a universal scientific instrument employed by scientists and engineers in every discipline for tasks such as simulation, analysis of experimental data, learning from observed data, and efficient data storage and retrieval,” said KAUST Extreme Research Computing Center (ECRC) Director Dr.
As one of the world’s leading supercomputing centers, KAUST is building on the success of its first supercomputer, Shaheen I, launched in 2009, followed by Shaheen II, a Cray-based supercomputer 25 times faster than its predecessor at 5.54 petaflop/s.
“Shaheen II has delivered 6.8 billion computing core-hours to more than 1,467 users, resulting in data used in about 1,030 publications to date,” said
“AMD is committed to the advancement of scientific research and development in high-performance computing, driving the technology behind computational modeling, simulation and AI,” said
“As we push deeper into the era of Exascale AI, supercomputers like Shaheen III are increasingly central to transforming society,” said
About Shaheen III
The Shaheen III supercomputer is designed with 18 HPE Cray EX supercomputer cabinets, which deliver end-to-end, cutting-edge technologies for the exascale era to efficiently harness insights from vast, ever-increasing amounts of complex data, while delivering a substantial increase in performance, accuracy and speed. When fully deployed, the system will comprise:
- HPE Slingshot networking cables delivering high-performance Ethernet fabric designed for next-generation HPC and AI solutions. These include larger, data-intensive workloads to address demands for higher speed and congestion control for applications to run smoothly and boost performance.
- Sophisticated closed-loop liquid cooling technology built in to the HPE Cray EX cabinets to efficiently remove heat from high-power devices, including CPUs, GPUs, memory and switches.
- Advanced support for computational modeling and simulation with next-generation AMD EPYC™ processors, code-named “Genoa.” Each HPE Cray EX cabinet is equipped with 4608 CPU compute nodes, with two AMD EPYC™ processors, amounting to 884,736 cores in the entire system.
- Advanced support for AI, analytics and other compute-intensive workloads using NVIDIA HPC and AI platforms. Seven HPE Cray EX4000 cabinets will include 704 GPU compute nodes, and each node will be equipped with 4 NVIDIA Grace Hopper Superchips, CPU/GPU modules.
- Expansion of Shaheen II’s existing storage to support complex workloads in modelling, simulation and AI using HPE’s Cray ClusterStor E1000 storage system by adding 50 petabytes of storage capacity.
- HPE Machine Learning Development Environment, an enterprise-grade machine learning training platform built on the open-source foundation laid by Determined AI to help research teams focus on innovation by removing complexity and making it easy to set up, manage, secure and share AI compute clusters. These new capabilities will allow users to train models faster, build more accurate models, and track and reproduce experiments.
About
About KAUST
Established in 2009, KAUST is a graduate research university devoted to finding solutions for some of the world’s most pressing scientific and technological challenges in the areas of food and health, water, energy, environment, and the digital domain. The University brings together the best minds and ideas from around the world with the goal of advancing science and technology through distinctive, collaborative research. KAUST is a catalyst for innovation, economic development and social prosperity in
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Alastair.mccormick@hpe.com
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