Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.

Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its ...

According to Nvidia, the new compiler source code "opens up" its CUDA parallel programming platform, allowing developers to more easily add GPU support for more programming languages.

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 ...

CUDA 6 is said to “dramatically simplify parallel programming” by offering programmers unified memory access and also to accelerate applications using drop-in libraries and multi-GPU scaling.

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

NVIDIA today made available the NVIDIA® CUDA® 5 production release, a powerful new version of the world's most pervasive parallel computing platform and programming model for accelerating ...

Spawning as many threads as possible when developing CUDA algorithms is encouraged by NVIDIA. It will allow the algorithms to scale across several generations of devices, automatically increasing ...

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 ...