Overview:  Scientific research is producing massive datasets, driving the need for advanced and scalable data storage solutions.Traditional storage systems ...

Hammerspace Inc., an eight-year-old startup that provides high-speed access to distributed data, has introduced an artificial ...

Photo courtesy of Brett Sayles on Pexels. Opinions expressed by Digital Journal contributors are their own. This year, 2025, the global data creation will reach a staggering 181 zettabytes, as ...

Everpure (NYSE: PSTG), the tech company formerly known as Pure Storage, has become a key beneficiary of the artificial intelligence (AI) data center boom. Over the past three years, shares have gained ...

Modern military operations generate massive volumes of RF and sensor data. Surveillance aircraft for example collect continuous RF emissions from radars, datalinks, and jammers, while naval vessels ...

Remembering the classic data center during a keynote at GTC, Nvidia CEO Jensen Huang said “it used to be … for files. It’s ...

A global/centralized network can provide the highest resource capacity. It follows the traditional centralized cloud computing approach and consists of cloud server hosting software. It is responsible ...

For years, storage sat quietly in the background of enterprise infrastructure. It was necessary but unglamorous, and rarely the centerpiece of innovation. But 2026 marks a decisiv ...

Without data, AI would not be able to exist and AI cannot get better without significant developments in how data is stored and used for AI scenarios. Traditional data storage systems simply hold raw ...

In previous attempts at such "indent-based" data storage systems, the indents served as binary code. The presence of an indent represented a 1, while the absence of an indent represented a 0. Not only ...

Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...