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Announcements
Intel Announces Unmatched AI and Analytics Platform with New Processor, Memory, Storage and FPGA Solutions
Intel introduces its 3rd Gen Intel® Xeon® Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of artificial intelligence (AI) and analytics workloads running in data center, network and intelligent-edge environments.
Intel Delivers World’s Fastest Gaming Processor
Intel announces new desktop processors as part of the 10th Gen Intel® Core™ processor family, including Intel’s flagship Core i9-10900K processor.
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Claims and Benchmark Library
A complete library of performance claims for Intel products and technologies.
CPU and GPU: Making the Most of Both
Central processing units (CPUs) and graphics processing units (GPUs) are fundamental computing engines. But as computing demands evolve, it is not always clear what the differences are between CPUs and GPUs and which workloads are best to suited to each.
CPUs and GPUs have a lot in common. Both are critical computing engines. Both are silicon-based microprocessors. And both handle data. But CPUs and GPUs have different architectures and are built for different purposes. The CPU is suited to a wide variety of workloads, especially those for which latency or per-core performance are important. A powerful execution engine, the CPU focuses its smaller number of cores on individual tasks and on getting things done quickly. This makes it uniquely well equipped for jobs ranging from serial computing to running databases.
GPUs began as specialized ASICs developed to accelerate specific 3D rendering tasks. Over time, these fixed-function engines became more programmable and more flexible. While graphics and the increasingly lifelike visuals of today’s top games remain their principal function, GPUs have evolved to become more general-purpose parallel processors as well, handling a growing range of applications.