WHITE PAPER:
This guide describes best practices for incorporating cabling in a typical data center, plus tips for selecting cabling components and information on data transmission media.
WHITE PAPER:
Mobile internet access and the explosive demand for high bandwidth services on mobile devices have created a pivotal point for service providers. Those providers that can meet the new demands while increasing efficiency will be able to increase their market share, while those that are not will lose ground. Read on to learn how to keep up.
WHITE PAPER:
Businesses are evolving and looking for more effective and efficient methods of handling bandwidth, performance and end-point needs. In addition, they are trying to anticipate future needs to help make good networking decisions.
WHITE PAPER:
Learn how to consolidate your network access facilities over multiple company locations and increase security with a metropolitan ring solution. Read this white paper and start reaping the benefits of this new solution today.
WHITE PAPER:
This paper provides survey insights from 520 employees using internal shared services, such as HR and workplace services and explores how employees perceive the use of self-service tools and a centralized company portal and the impact on the wider business.
WHITE PAPER:
An organization is only as strong as its employees. Read this paper to learn how the path to delivering productive employee experiences and supporting new ways of working begins with creating exceptional experiences.
WHITE PAPER:
Check out this e-book to learn about a Ceph cluster based on an all-flash storage server with 3rd Gen Intel® Xeon® Scalable Processors using all-flash NVMe SSDs and discover how it held up to testing by Supermicro experts.
WHITE PAPER:
Supermicro has partnered with Habana Labs and Intel® to deliver a high performance and cost-effective system for AI training coupled with the 3rd Gen Intel® Xeon® Scalable Processor. Explore this white paper for an overview of the Supermicro X12 Gaudi AI Training system to enable high-performance computing for deep learning workloads.
