Nvidia recently warned developers against using its CUDA on non-Nvidia GPUs, a move where the company tries to fend off other competitors. It also highlights another challenge in China's efforts to ...

Updated workflow connects high-level modeling and NVIDIA CUDA-Q execution to shorten iteration cycles in hybrid HPC and quantum ...

Machine Unlearning platform powered by the NVIDIA stack demonstrates up to 91% reduction in prompt injections and 95% reduction in bias across foundat ...

How NVENC compares (at all) to CUDA, I have no idea. I do know that if I was editing video for any sort of meaningful production, I probably would not use NVENC unless it has significantly improved in ...

Nvidia has taken further actions targeting the Chinese market to maintain its dominance in the GPU market, attempting to block third-party GPU companies from seamlessly using CUDA software. This move ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

Nvidia's next-gen RTX 50-series GPUs are finally here, and they're flexing hard. With promises of GDDR7 memory, PCIe 5.0 support, and DLSS 4, these cards are built to crush 4K gaming and AI workloads ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Whether you're running one of the best graphics cards made by Nvidia or any entry-level model from several years ago, it'll be backed with CUDA cores. Not to be confused with Tensor Cores (AI cores), ...