By design, NVMe drives are intended to provide local access to the machines they are plugged in to; however, the NVMe over Fabric specification seeks to address this very limitation by enabling remote network access to that same device.

NVMe drives have paved the way for computing at stellar speeds, but the technology didn't suddenly appear overnight. It was through an evolutionary process that we now rely on the very performant SSD for our primary storage tier.

Since the dawn of computing, hardware engineers have had one goal that's stood out above all the rest: speed. Sure, computers have many other important qualities (size, power consumption, price and so on), but nothing captures our attention like the never-ending quest for faster hardware (and software to power it). Faster drives. Faster RAM. Faster processors. Speed, speed and more speed. [Insert manly grunting sounds here.] What's the first thing that happens when a new CPU is released? Benchmarks to compare it against the last batch of processors.

As we sit here, in the year Two Thousand and Eighteen (better known as "the future, where the robots live"), our beloved Linux is the undisputed king of supercomputing. Of the top 500 supercomputers in the world, approximately zero of them don't run Linux (give or take...zero).

An open-source battle is being waged for the soul of artificial intelligence. It is being fought by industry titans, universities and communities of machine-learning researchers world-wide. This article chronicles one small skirmish in that fight: a standardized file format for neural networks. At stake is the open exchange of data among a multitude of tools instead of competing monolithic frameworks.

In August 2015, IBM announced LinuxONE (www-03.ibm.com/press/us/en/pressrelease/47474.wss), anchored by two new Linux mainframe servers that capitalize on best-of-class mainframe security and performance, and that bring these strengths to open-source-based technologies and the Open Source community. Th

Today's computational needs in diverse fields cannot be met by a single computer. Such areas include weather forecasting, astronomy, aerodynamics simulations for cars, material sciences and computational drug design. This makes it necessary to combine multiple computers into one system, a so-called computer cluster, to obtain the required computational power.

Because you're a reader of Linux Journal, you probably already know that Linux has a rich virtualization ecosystem. KVM is the de facto standard, and VirtualBox is widely used for desktop virtualization. Veterans should remember Xen (it's still in a good shape, by the way), and there is also VMware (which isn't free but runs on Linux as well).

High Performance: a Relative Term My Pebble watch has several orders of magnitude more power than the mainframe computers used by NASA to land astronauts on the moon an

In recent years, there has been a trend in which data centers have been opting for commodity hardware and software over proprietary solutions. Why shouldn't they? It offers extremely low costs and the flexibility to build an ecosystem the way it is preferred. The only limitation is the extent of the administrator's imagination.

Organizations supporting Linux operating systems commonly have a need to build customized software to add or replace packages on production systems. This need comes from timing and policy differences between customers and the upstream distribution maintainers.

Scheduling means different things depending on the audience. To many in the business world, scheduling is synonymous with workflow management. Workflow management is the coordinated execution of a collection of scripts or programs for a business workflow with monitoring, logging and execution guarantees built in to a WYSIWYG editor.