In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU entirely, but by surpassing it in relevance, performance, and versatility ...

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 ...

Current notebooks with NPUs have the advantage of being able to handle AI functions much more effectively. In addition, the ...

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 ...

Supercomputers are powerful machines designed for complex problem-solving, using parallel computing with thousands of ...

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, ...

Early last week at COMPUTEX, Nvidia announced that its new GH200 Grace Hopper "Superchip"—a combination CPU and GPU specifically created for large-scale AI applications—has entered full production. It ...

Hybrid chips from these two heavy hitters portend a new kind of processor—and, maybe, new classes of PCs entirely. What does ...