WHITE PAPER:
Learn the value of Zoned Namespaces (ZNS) SSDs for highly-scalable digital architectures – cloud services, mega digital platforms, and data center infrastructure – for data-intensive workloads.
WHITE PAPER:
This paper explains how the NBA & WNBA were able to create and integrate nine customized workflows to screen, track, and grant tiered access for all the players and staff with the help of ServiceNow.
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:
Businesses have embraced more hybrid ways of working, with employees working in remote locations. Learn how to keep them connected, secure, and productive.
WHITE PAPER:
Find out the best practices on Alibaba Cloud from some of the industry leaders and learn the benefits they saw from implementing Alibaba Cloud.
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:
Learn the results of a Total Economic Impact™ (TEI) study conducted by Forrester Consulting and commissioned by Slack and find out the potential return on investment (ROI) companies may realize by deploying Slack Plus or Slack Grid.
WHITE PAPER:
This paper will explain how 5G will primarily be an enabler of digital transformation and have a significant impact on where data is stored and processed and how that will impact the future of storage.
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.
