Q&A
What challenges will hyperconvergence solve?
Digital transformation is key to business success, and with it the need to support big data, artificial intelligence (AI), and the hybrid cloud while also meeting the fast-growing demands of traditional workloads. Current IT infrastructure weighs data centers down with sluggish arrays of hard-to-manage components, preventing them from keeping up with the quick-turnaround demands of business and the cloud.
By centralizing resources and management, HCI lowers costs, reduces complexity, and alleviates staff burdens while raising performance.
Converged versus hyperconverged: What's the difference?
Converged and hyperconverged systems both aim to simplify data center management. Converged infrastructure has the same components, but they're discrete, separable, and cumbersome to manage compared with HCI. Hyperconverged infrastructure fully integrates all components and is software defined.
In essence, HCI is designed to work as one system with software-managed storage, as opposed to converged solutions and their separate components.
What is the hyperconvergence advantage?
HCI delivers deeper abstraction and higher automation and scalability than converged infrastructure. HCI simplifies administration by providing a single point of management. HCI fully integrates with your entire data center, eliminating the need for separate servers and network storage and delivering on-demand infrastructure for data-centric workloads.
How can I benefit from hyperconverged infrastructure?
IT is continually tasked to do more with fewer resources. In addition to taking care of existing IT infrastructure, it must drive new initiatives such as AI, machine learning (ML), and big data. For large and small organizations, hyperconvergence's centralized management, scalable architecture, and cloudlike simplicity deliver multiple benefits.