CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI strategy.

NVIDIA-CUDA-GPU-programming-processing-8-BILLION-hashes-sec-on-v100 To process 8 billion hashes per second on an NVIDIA V100 GPU using CUDA, you'll need to write a highly parallelized CUDA program ...

Visualization of a PyTorch 2D tensor on Cuda device using OpenGL, without the need to transfer data to the CPU. The visualization is real-time, meaning that any changes to the tensor within the render ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

NVIDIA's CUDA-Q v0.8 update simplifies quantum programming with enhanced state handling, Pauli words, custom unitary operations, and more.

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...