New York, High-performance computing (HPC) refers to the use of parallel processing for running advanced application programs efficiently, reliably, and quickly. Newer workloads, such as genomic sequencing, machine learning, deep learning, speech, facial recognition, and pattern recognition, are being executed on HPC systems. High-performance computers contribute significantly to industrial competitiveness, national security, scientific progress, and quality of life. HPC systems are used in a variety of applications, including medical research, financial modeling, and weather forecasting. For these applications, HPC systems are used to rapidly process and analyze large datasets.
High Performance Computing (HPC) refers to the use of specialized computing systems to process large amounts of data quickly and efficiently. It is a form of computing that uses advanced hardware and software to process large amounts of data and crunch complex algorithms quickly and accurately. HPC systems are generally used to solve scientific and engineering problems that require intensive computational resources.
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Key Trends
High Performance Computing (HPC) is a rapidly growing technology that has the potential to revolutionize the way businesses and organizations operate. It is the use of large-scale computing resources to solve complex problems and enable faster data processing. HPC is used to solve problems that are too complex for a single computer or that require a large amount of processing power.
One of the major trends in the HPC market is the increasing demand for cloud-based HPC solutions. Cloud-based HPC solutions provide cost-effective and flexible access to high-performance computing resources. They enable organizations to scale up or down their computing resources as needed, while also reducing their overall operational costs.
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Key Drivers
Rising need for faster processing speeds, the increasing availability of data, and the need for more accurate results. As businesses and organizations continue to generate and collect more data, they need faster and more powerful systems to process and analyze it. HPC systems are designed to quickly and accurately process large datasets, which can help organizations make better decisions and gain a competitive advantage. Additionally, HPC systems are able to simulate complex physical and chemical processes, allowing researchers to gain a better understanding of the world around them. In addition to the need for faster processing speeds and more accurate results, the increasing availability of data is also a key driver of the HPC market. As data becomes more available, organizations are able to store and process larger datasets, which can be used to gain a better understanding of customer behavior and trends. This data can then be used to make more informed decisions and improve existing products and services.
Market Segments
High-Performance Computing Market is segmented into components, deployment, end-user, and regions. By component, the market is divided into servers, storage, and networking devices. Based on deployment, the market is bifurcated into on-premise and cloud. Whereas for end-user, the market is segmented into aerospace and defence, energy and utilities, BFSI, media and entertainment, manufacturing, life science and healthcare, and other industrial applications. Region-Wise, the market is segmented by North America, Europe, Asia-Pacific, and the rest of the world.
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Key Players
The High Performance Computing Market report includes players such as IBM Corporation (US), Hewlett Packard Enterprise (US), Dell Technologies Inc. (US), Lenovo Group Limited (China), Fujitsu Ltd. (Japan), Cray Inc. (US) – Acquired by HPE in 2019, NEC Corporation (Japan), Atos SE (France), Super Micro Computer, Inc. (US), and Inspur Group Co., Ltd. (China), among others.
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