EZINE:
In this week's Computer Weekly, we report on a programme to get more young women into cyber security. We look at fashion for online personas. And we examine edge computing as the new data frontier, and how cloud-native platforms and AI might transform the datacentre. Read the issue now.
EZINE:
In this week's Computer Weekly, we speak to the chief digital information officer of Manchester United Football Club to discuss the IT that keeps a premiership team running. We also investigate how well prepared the UK is for major semiconductor supply chain disruptions. Read the issue now.
TECHNICAL ARTICLE:
Intel IT has standardized the Intel® Xeon® processors with a core frequency of 3 GHz for two-socket servers for design computing and enterprise server virtualization. Our analysis demonstrates that higher-end processors significantly enhance server performance for a minimal increase in total cost of ownership (TCO).
EZINE:
According to the Data Center Decisions 2008 Purchasing Intentions Survey, server selection and disaster recovery (DR) are front-burner issues for data center decision makers.
VIDEOCAST:
This animated module, the first of four, includes and overview on the benefits of one product family and highlights performance, scalability and reliability.
BROCHURE:
Unlike competitive products focused on raw performance, AMD technology-based servers deliver one platform to support the top-line demands of your business with a total cost advantage you can take right to the bottom-line.
WHITE PAPER:
This white paper examines the defining reliability, availability, and serviceability characteristics of Red Hat Enterprise Linux. Learn how they enable the addition and removal of physical and logical devices while improving system availability and increasing capacity.
WHITE PAPER:
This resource demonstrates how Carestream Health created a powerful, scalable data center platform able to accommodate more users without sacrificing service quality. Learn how they improved processing power, allowing them to meet the challenges of serving more users while handling more data-intensive workloads.