![]() ![]() Fast application performance - with more customer transactions per server - ultimately delivers improved sales. ![]() Online transaction processing (OLTP) is at the core of many enterprise applications.New workloads call for new solutionsĭepending on the organization and its IT requirements, high performance in the data center can be required to perform and support certain key functions: Whenever businesses design and simulate products, the computer-aided engineering applications they use also need high-performance, high-efficiency computing. Financial trading is increasingly based on algorithms and machine learning (ML), and real-time data on customer interactions drives online advertising. In conjunction with AI and data analytics, high-performance computing is powering entire industries that depend for their existence on performing large-scale, mathematically intensive computations for a variety of needs, including faster business insights and results to drive improved decision-making. No longer the domain of a few select fields, industries from financial trading to the advertising ecosystem rely on large-scale mathematically intensive computations. ![]() Examples include keeping application logins running smoothly, running algorithms that keep systems secure, or even monitoring retail environments with computer vision to prevent shoplifting. In a relatively short timeframe, they’ve gone from believing they would never need anything beyond routine compute performance capabilities, to depending on high-performance computing to fuel their business success. As data volumes have exploded, many organizations are tapping into these technology and techniques to perform essential functions. Not long ago, conventional thinking was that high-performance computing was only required for exceptionally data-intensive applications within select industries - aerospace, oil and gas, and pharmaceuticals, for example, in addition to supercomputing centers dedicated to solving large, complex problems. High-performance computing in the enterpriseįew organizations are unaffected by the need for high-performance computing. IDC’s survey of IT decision-makers at companies with over 2,500 employees found that 94.4% of respondents required optimized server solutions for performance-intensive computing applications such as artificial intelligence. The growing demand from business leaders for these high-performance data centers was recently revealed in an AMD-sponsored IDC white paper, High-Performance Computing Drives Critical New Capabilities for Mainstream Organizations. To power the computer-intensive needs of AI, 94.4% of companies with more than 2,500 employees said optimized server solutions were required. IT leaders are being faced with the requirements to provide increasing levels of performance, but with tighter resources. Servers, storage capacity, memory, bandwidth - all must be at peak performance, all the time, while also functioning with minimal power consumption and within the tightest footprints. They are built on complex, constantly evolving models that ask a lot of today’s infrastructures. Compute intensive workloads have become more entrenched and more demanding for data centers to handle. Increasing pressure on performance has been a fact of life in the data center environment for several years now. ![]()
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