WHITE PAPER:
See how Asia-Pacific financial services leaders are combining operational agility with AI-powered productivity while bolstering security and compliance.
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:
If you are being strong-armed into replacing your current storage with the newest equipment, remember that the “one-option-only” perception is just an illusion. Access this white paper to learn 6 must-know facts before your next storage buy.
WHITE PAPER:
Learn how Supermicro and Intel®, with their DAOS software stack, is designed from the ground up for performance and uses persistent memory and NVMe SSDs to provide a high-efficiency storage solution for demanding applications.
WHITE PAPER:
Learn how organisations building on a revolutionary foundation for how they go to market are succeeding because of their focus on providing excellent customer experiences.
WHITE PAPER:
Access this paper to find out how, with the help of enterprise service management, your organization can better support its employees by providing a better service experience from their business services.
WHITE PAPER:
This paper explains how having your staff spend less time replacing drives combined with increased saving in power and cooling with Western Digital can result in significant reduction in costs.
WHITE PAPER:
Read this paper to learn how OpenFlex Composable Infrastructure uses NVMe™-over-Fabric to dramatically improve compute and storage utilization, performance, and agility in the data center.
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.
