High-Performance Computing Systems
A Solution for Data-Intensive Applications
High-performance computing systems play a critical role in accelerating data processing and enabling advanced applications across industries. Organizations require scalable, high-performance solutions to manage increasingly complex workloads, from artificial intelligence (AI) and machine learning (ML) to scientific research and enterprise IT.
Scale Computing Platform delivers a robust, efficient, and scalable infrastructure designed to meet the growing demand for high-performance computing solutions. Whether processing large datasets, running simulations, or handling high-performance data analytics, SC//Platform provides the foundation to optimize operations, enhance resilience, and achieve performance goals—while simplifying IT management and reducing costs.
SC//Platform: An Optimized High-Performance Solution
Scale Computing Platform for Accelerated VDI and High-Performance Applications
"Our RPO and RTO dramatically reduced from three days to a matter of minutes. We can now use this time to focus on other IT priorities making a real difference to the business. With Scale Computing we can align IT strategy with business growth."
IT Manager at Penlon
Real-World Impact of High-Performance Computing
Scale computing clusters dramatically reduced management time, allowing the IT department to focus on other challenges rather than IT infrastructure. In addition, the high-performance technology offered scale-out architecture, providing Penlon with room to expand.
How High-Performance Computing Powers Advanced Applications
Edge Computing Self-Assessment
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Frequently Asked Questions
What is high-performance computing used for?
High-performance computing (HPC) is used for data-intensive applications such as AI training, financial modeling, climate simulations, and real-time analytics, including computer vision for retail surveillance, fraud detection, and personalized recommendations.
How does HPC differ from traditional computing?
HPC utilizes parallel processing, high-speed interconnects, and specialized hardware (such as GPUs) to perform large-scale computations much faster than traditional computing, which relies on sequential processing.
What industries benefit from HPC?
Industries such as retail, healthcare, finance, manufacturing, energy, and scientific research rely on HPC for tasks like fraud detection, customer behavior prediction, drug discovery, risk analysis, weather forecasting, and engineering simulations.
What are the key components of an HPC system?
An HPC system typically includes high-performance processors (CPUs and GPUs), fast interconnects (InfiniBand, NVLink), scalable memory, parallel storage (NVMe SSDs, Lustre file systems), and workload management software for efficient resource allocation.
What are examples of high-performance computing?
Examples of HPC include supercomputers like Summit and Fugaku, AI training clusters, financial risk modeling platforms, climate simulations, and real-time genomics analysis for precision medicine.
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