The Ohio Supercomputer Center (OSC) has recently acquired a new system called “Cardinal” to augment its existing clusters and meet the growing demand for high-performance computing (HPC) and artificial intelligence (AI) workloads. While many state universities and organizations struggle to find the budget for top-notch supercomputers, OSC has made a significant achievement with the Cardinal system.
In the past, funding for supercomputing projects was mostly provided by state and federal sources, such as the National Science Foundation, the Department of Energy, and the Defense Advanced Research Projects Agency. However, with the rise of hyperscalers and cloud builders, these resources have become scarcer, making it more challenging for universities to obtain state-of-the-art GPUs from companies like Nvidia and AMD.
OSC, established in 1987, has had its fair share of impressive HPC machines over the years, including the renowned Cray Y-MP8/864 system, which was the fastest in the world at the time. The center currently operates three clusters, namely “Owens,” “Pitzer,” and “Ascend,” each serving different computational needs.
The new Cardinal system, built by Dell, consists of 378 nodes with a total of 39,132 cores and 128 GPUs. It features nodes based on Intel’s “Sapphire Rapids” Xeon Max CPU processors, as well as GPU nodes equipped with Intel’s Sapphire Rapids Xeon SP-8470 Platinum processors and Nvidia’s “Hopper” H100 GPU accelerators. With this configuration, Cardinal aims to provide robust support for diverse HPC and AI workloads, empowering universities to train future IT professionals effectively.
OSC’s commitment to investing in cutting-edge computing technologies demonstrates its dedication to pushing the boundaries of knowledge and facilitating groundbreaking research. The Cardinal system will undoubtedly contribute to the center’s ongoing mission of advancing scientific discovery and innovation.
By continuously upgrading its computational infrastructure, OSC remains at the forefront of the HPC landscape, enabling researchers to tackle complex challenges and accelerate the pace of discovery in various domains. The acquisition of the Cardinal system represents another milestone for the Ohio Supercomputer Center, solidifying its position as a leader in computational research and education.
Ohio Supercomputer Center Acquires New System “Cardinal” for High-Performance Computing and Artificial Intelligence Workloads
The Ohio Supercomputer Center (OSC) has recently acquired a new system called “Cardinal” to meet the growing demand for high-performance computing (HPC) and artificial intelligence (AI) workloads. This acquisition is significant considering the challenges faced by many state universities and organizations in obtaining top-notch supercomputers.
In the past, funding for supercomputing projects primarily came from state and federal sources. However, with the rise of hyperscalers and cloud builders, these resources have become scarcer, making it more difficult for universities to obtain state-of-the-art GPUs from companies like Nvidia and AMD.
OSC, established in 1987, has a history of impressive HPC machines, and currently operates three clusters, namely “Owens,” “Pitzer,” and “Ascend,” each serving different computational needs.
The new Cardinal system, built by Dell, consists of 378 nodes with a total of 39,132 cores and 128 GPUs. It features nodes based on Intel’s “Sapphire Rapids” Xeon Max CPU processors, as well as GPU nodes equipped with Intel’s Sapphire Rapids Xeon SP-8470 Platinum processors and Nvidia’s “Hopper” H100 GPU accelerators. Cardinal aims to provide robust support for diverse HPC and AI workloads, empowering universities to effectively train future IT professionals.
By continuously upgrading its computational infrastructure, OSC remains at the forefront of the HPC landscape, enabling researchers to tackle complex challenges and accelerate the pace of discovery in various domains. The acquisition of the Cardinal system solidifies the Ohio Supercomputer Center’s position as a leader in computational research and education.
Definitions:
– Supercomputing: The use of extremely powerful computers to solve complex problems and perform advanced computations at a high speed.
– High-Performance Computing (HPC): The use of supercomputers and parallel processing techniques to solve large-scale, computationally intensive problems efficiently.
– Artificial Intelligence (AI): The simulation of human intelligence processes by machines, such as learning, reasoning, and problem-solving.
– GPUs: Graphics Processing Units, specialized processors designed for rendering graphics and accelerating computationally intensive tasks.
Related Links:
– Ohio Supercomputer Center
The source of the article is from the blog jomfruland.net