Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

With the rapid growth of AI, high-performance computing (HPC), and cloud computing, data centers face increasing challenges regarding performance demands, deployment flexibility, and energy efficiency ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

Why it matters: Those who follow the semiconductor market know that chipmakers AMD, Intel, and Nvidia all compete in various markets, most notably CPUs and GPUs. What few may realize, however, is that ...

Data storage and data processing have always been separate functions, but what if they could be unified and achieve much better performance? That’s the promise of computational storage. Although media ...

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. Today, ...