In this day and age when the X86 server has pretty much taken over compute in the datacenter, enterprise customers still have their preferences and prejudices when it comes to the make and model of X86 machine that they deploy to run their applications. …
How on earth could a company the size and scope of Delta—a company whose very business relies on its ability to process, store, and manage fast-changing data—fall prey to a systems-wide outage that brought its business to a grinding halt? …
Making the transition from disk storage to flash and other non-volatile media is perhaps more difficult for the makers of storage than it is for customers. …
We are hitting the limits of what can be crammed into DRAM in a number of application areas. …
Some technology trends get their start among enterprises, some from hyperscalers or HPC organizations. …
Converged systems are a hot commodity in the IT sector these days. …
Building high performance systems at the bleeding edge hardware-wise without considering the way data actually moves through such a system is too common—and woefully so, given the fact that understanding and articulating an application’s requirements can lead to dramatic I/O improvements. …
Compute is by far still the largest part of the hardware budget at most IT organizations, and even with the advance of technology, which allows more compute, memory, storage, and I/O to be crammed into a server node, we still seem to always want more. …
While legacy monolithic applications will linger in virtual machines for an incredibly long time in the datacenter, new scale-out applications run best on new architectures. …
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
All Content Copyright The Next Platform