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Announcements
Intel Launches Go PC Campaign – Get Real, Go PC
A PC powered by a new 11th Gen Intel® Core™ mobile processor delivers faster web productivity than on an M1 Mac. Comparing the most popular web browser (Chrome), running native versions on both systems, the 11th Gen system performs up to 41% faster across subtests like organize album using AI, online photo enhancements, and creating sales graphs.
Intel Launches 3rd Gen Intel® Xeon® Scalable Processors – Performance Made Flexible
Intel launches its most advanced, highest performance data center platform optimized to power the industry’s broadest range of workloads — from the cloud to the network to the intelligent edge.
Intel Tech Blog
The Intel tech blog is designed to share candid information on Intel’s unique ability to innovate across six pillars of technology innovation.
Performance Index
An index 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 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.