CPUs and GPUs may look similar on the surface, but they handle computing in very different ways. Discover how their unique ...

Learn in detail how GPU and XPU differ, with explanations of their features, functions, areas of use, and why XPUs are seen ...

The “X” in XPU is often interpreted as a placeholder for “any” or “cross-domain,” signifying flexibility and extensibility. It isn’t one single chip type, but rather a concept and direction in process ...

Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop system, with ...

In brief: Fujitsu is a Japanese multinational conglomerate that mostly sells personal and enterprise computing products, as well as x86 and mainframe servers. The company is active in the ...

One of the reasons why Intel can even think about entering the GPU compute space is that the IT market, and indeed just about any market we can think of, likes to have at least three competitors. With ...

In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...

A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering: by adding its proprietary companion chip, any CPU can instantly double its performance, ...