From gaming to AI, GPUs have revolutionized computing. Discover how these powerful processors work, their key applications ...

If a CPU is a race car, a GPU is a cargo truck. The main job in deep learning is to fetch and move cargo (memory, actually) around. Both devices can do this job, but in different ways. A race car ...

Two of the most predominant players in this space, Advanced Micro Devices (AMD) and Nvidia ... continue to be instrumental in AI and deep learning environments, providing unmatched computational ...

The graphics card driver plays a major role in system performance, which is why occasionally checking for updates is a good ...

AMD has announced support for GPU-accelerated machine learning training workflows on Windows 10, which allows users with AMD hardware – from software engineers to students – to access ML ...

The “deep learning” part is Nvidia’s secret sauce ... FSR, on the other hand, can work on just about any GPU. AMD FidelityFX Super Resolution: Supercharged Performance In addition to ...

Nvidia’s Deep Learning Super Sampling (DLSS) technology continues to expand rapidly with company bringing support to six ...

With the current generation of Pro GPUs named the W7000 series (and assuming AMD will handle Pro series naming the same way it did the RX gaming line), the upcoming GPU will likely be part of a ...

told CRN that with all the new products AMD has released in the last couple years, particularly its new 7-nanometer CPUs and GPUs, the chipmaker wanted to created an easy way for channel partners ...