
Artificial Intelligence (AI) at scale raises the bar for storage infrastructure in terms of capacity and performance. It is not uncommon for an AI or machine learning (ML) environment to expect growth to dozens if not hundreds of terabytes of…
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) projects can all have varying types of data associated with them. Some projects consist of a relatively small number of huge files, and others have an incredibly high number of…
The data center, in most cases, is a mixture of legacy and modern applications that exist, both on-premises and in the cloud. To provide organizations with a competitive advantage, IT needs to use and manage these resources efficiently. IT professionals…
Increasingly, organizations are looking to hyper-converged infrastructure (HCI) to simplify their on-premises architectures to make them more cloud-like. Obvious considerations for IT professionals looking to move to HCI are Cisco HyperFlex, Dell EMC, Nutanix, and VMware HCI. This writeup is…
One of the best examples of software defined networking (SDN) in action is in the cloud. When organizations use compute and storage resources from Amazon, Google and Microsoft clouds they don’t get to go into those data centers and configure…