NVIDIA's 1999 GeForce 256 graphics card revolutionized computing by introducing parallel processing, initially for games.

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the increased complexity of writing code and the ever-growing demand for compute power.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

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 ...

Chinese researchers have achieved a groundbreaking performance boost in supercomputing, using domestically developed GPUs. Their new computing model delivered a nearly tenfold speed improvement ...

AI data centers and cloud computing are demanding strong investment from countries all over the world. The word "Sovereign AI" has become popular with countries building out their own AI ...

What if the key to unlocking humanity's next era of innovation lies in two acronyms that are reshaping our digital world? GPUs (graphics processing units) and NPUs (neural processing units) are at the ...

Forbes contributors publish independent expert analyses and insights. A recent post on Reddit in the mlscaling sub reads a little bit like a spy novel in looking at where we’re going to get new ...

Have you ever wondered how graphics cards work to create the vibrant, neon-lit streets of a futuristic cityscape in your favorite video game? Every detail—from the glint of rain-soaked pavement to the ...

GPUs are crucial to modern computing. You're probably reading this on a screen that's making use of a GPU. But what is a GPU? What are they good for? Join us for a layman's overview. A graphics ...