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Data Center Design for Cloud Computing

Discover Intel’s vision for the future of cloud computing, as well as the technologies that can make it a reality.

Автор: админ Последнее обновление: 08.12.2017 - 15:07

How to Enable an Intel® Trusted Execution Technology Capable Server

Intel® Trusted Execution Technology (Intel® TXT) is a collection of hardware-based security technologies built into Intel’s silicon.  They address the security threats across physical and virtual i

Автор: Thai Le (Intel) Последнее обновление: 26.03.2019 - 12:20

Open Source - OpenStack

Автор: Последнее обновление: 13.07.2018 - 14:32

开源 - OpenStack

Автор: Последнее обновление: 13.07.2018 - 14:32

Intel Atom® Processor C2000 Product Family Technical Overview

1. Executive Summary

Автор: David Mulnix (Intel) Последнее обновление: 09.03.2019 - 13:42

Use Cases That Take Advantage Of The Enhanced Communications Features Of the Intel® Atom™ Processor C2000 Product Family

The Intel Atom® processor C2000 product1 family has a subset of server products that include enhanced communications features.  This communications focused product line codenamed “Rangel

Автор: David Mulnix (Intel) Последнее обновление: 09.03.2019 - 13:38

Intel and Red Hat: Transforming the Cloud Data Center

Working together to deliver value to data center operations in Linux,* virtualization, and now the OpenStack* cloud operating environment, Intel and Red Hat continue to push the technology envelope

Автор: Dan Fineberg (Intel) Последнее обновление: 01.06.2017 - 11:30

Using Multiple Backends in Openstack Swift

OpenStack Swift is a highly available, distributed, eventually consistent object/blob store. Object Storage is ideal for cost effective, scale-out storage.

Автор: Yuan Zhou (Intel) Последнее обновление: 13.02.2019 - 13:08

Intel Developer Evangelist: Mike Richmond - Open Source Data Centers

Mike Richmond explores the evolving use of Linux in the datacenter and what Intel can do to better support those changes.

Автор: Gerald M. (Intel) Последнее обновление: 26.03.2019 - 14:06

Experience and Lessons Learned for Large-Scale Graph Analysis using GraphX

While GraphX provides nice abstractions and dataflow optimizations for parallel graph processing on top of Apache Spark*, there are still many challenges in app

Автор: Mike P. (Intel) Последнее обновление: 14.06.2017 - 15:44