CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

That speed comes from the parallel computing that the GPU enables. The concept has been around since the 1980s, but until relatively recently, the capability to perform parallel computing was hard ...

At SC18 in November, I still heard comments that GPUs are hard to program relative to CPUs. I’ve been saying for the last ten years or more that parallel programming is hard and will always be. If ...

NVIDIA urges ECC activation to mitigate GPUHammer, a RowHammer exploit threatening AI accuracy and data integrity on GPUs.

Reddio proudly announces the launch of its Mainnet Alpha, bringing the world’s first GPU-Accelerated Parallel EVM architecture to live production. Purpose-built for compute-intensive and AI ...

Nvidia stock remains attractively priced, especially when considered in light of its market-beating growth.

Purpose-built smart home tech is often extraordinarily lightweight, using minimal power and requiring little in the way of ...

Parallel Works launched Activate AI, a new control plane for deploying and managing AI and ML workloads that require ...

The rapidly emerging market for GPUs is AI and machine learning, which are massively parallel problems. “Lots of enterprises and CIOs are seeing how they can use deep learning for solving their ...