Software-defined networking with Network Functions Virtualization NFV is enabling new service opportunities and operations efficiencies for both communication services providers and enterprises alike. Using flexible, optimized, industry-standard servers and virtualized, orchestrated network functions will allow future-ready infrastructures to be able to deliver innovative services with efficiency and ease.
Such distributed communications networks can support extreme levels of scalability, agility, programmability, and security across an ever-growing volume and variety of networking workloads—from the network core to the edge. It offers an architecture that scales and adapts with ease to handle the demands of emerging applications and the convergence of key workloads, such as applications and services, control plane processing, high-performance packet processing, and signal processing.
This new processor provides a foundation for agile networks that can operate with cloud economics, be highly automated and responsive, and support rapid and more secure delivery of new and enhanced services enabled by 5G. With solution guidance and training from these programs, CommSPs can drive their network transformation initiatives forward with increased confidence.
Today's scientific discoveries are fueled by innovative algorithms, new sources and volumes of data, and advances in compute and storage.
Machine learning, deep learning, and AI converge the capabilities of massive compute with the flood of data to drive next-generation applications, such as autonomous systems and self-driving vehicles. It is optimized for demanding mainstream data center, multicloud compute, and network and storage workloads. With up-to four-socket scalability, it is suitable for an expanded range of workloads. Hardware-enhanced performance required for entry data center computes, network, and storage.
Hardware-enhanced reliability, availability, and serviceability features designed to meet the needs of these entry solutions. Up to 2.
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Learn more. Up to 8x M. Performance varies depending on system configuration. Tests document performance of components on a particular test, in specific systems. Differences in hardware, software, or configuration will affect actual performance. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations, and functions.
Any change to any of those factors may cause the results to vary.
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You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel.
Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings.
Circumstances will vary. Intel does not guarantee any costs or cost reduction.
Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate. Optimization Notice: Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors.
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Notice Revision Performance results are based on testing as of dates shown in configuration and may not reflect all publicly available security updates. See configuration disclosure for details. No product or component can be absolutely secure. For more complete information visit www. Pricing guidance as of March 1, You should consult other information and performance tests to assist you in your purchase decision. For other topologies, data was stored on local storage and cached in memory before training.
Up to 3. OLTP Warehouse claim of up to 3. HiBench claim of 4.
Up to 1. AWS R5a. For more details visit www. Respondents were divided into eight groups depending on their parents' origin. Those of immigrant ancestry include: Jewish immigrants from the former Soviet Union; Chinese immigrants from the mainland, Taiwan, Hong Kong, and the Chinese Diaspora; immigrants from the Dominican Republic; immigrants from the English-speaking countries of the West Indies including Guyana but excluding Haiti and those of Indian origin ; and immigrants from Colombia, Ecuador, and Peru. These groups composed 44 percent of the second-generation population in the defined sample area.
To be eligible, a respondent had to have a parent from one of these groups. If the respondent was eligible for two groups, he or she was asked which designation he or she preferred. The ability to compare these groups with native born Whites, Blacks, and Puerto Ricans permits researchers to investigate the effects of nativity while controlling for race and language background.
About two-thirds of second-generation respondents were born in the United States, mostly in New York City, while one-third were born abroad but arrived in the United States by age 12 and had lived in the country for at least 10 years, except for those from the former Soviet Union, some of whom arrived past the age of The project began with a pilot study in July Survey data collection took place between November and December The study includes demographic variables such as race, ethnicity, language, age, education, income, family size, country of origin, and citizenship status.
This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. There was IRB approval for this data. Telephone interviews were conducted with random samples of 3, men and women aged 18 to 32 living in New York City except Staten Island or the inner suburban areas of Nassau and Westchester Counties, New York, and northeastern New Jersey. A first wave of screening involved random-digit dialing RDD contact of 91, households with telephones in the sampling area.
A second wave of screening involved RDD contact of , households with telephones within telephone exchanges that yielded at least one valid response in the first wave. Young adults aged who were born in the United States to parents who immigrated after the second generation or who were born abroad but arrived the United States by age 12 and grew up in the United States the "1.