WHITE PAPER:
Learn how applications can improve performance and achieve linear scalability by switching from a tier-based model to space-based architecture (SBA).
WHITE PAPER:
Many IT pros are eager to get started with their Windows 7 rollouts, but not sure which software to use in the process. This article reviews one OS deployment/client management tool and examines its pros, cons, and key features.
WHITE PAPER:
This whitepaper will show you how you can establish a blueprint to simplify, design, order and deploy client virtualization within your environment with low-risk implementation.
WHITE PAPER:
The most effective way to thrive through unprecedented change is to get ahead of it. Read this e-book to learn how you can transform your digital operations and maximize ROI by enabling effective project and portfolio management on a single platform.
WHITE PAPER:
ServiceNow® works with organizations around the world to help them effectively manage enterprise risk and compliance. This paper identifies three key pillars for success that allow those organizations to respond proactively and consistently to the full spectrum of risks they face.
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:
To learn how CxOs and IT managers are working towards greener data centers, and how your company can lessen its impact on the environment, download this free report. Inside you'll learn how data centers impact the environment, how to select low-impact servers and equipment, how to plan for End-of-Life (EOL) of older servers, and more.
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.