Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...

This deal directly challenges Google’s TPUs, positioning NVDA to dominate both AI training and inference with ...

Investors can have their cake and eat it, too. Feel free to keep an eye out for the next big thing. But in the meantime, it's wise to gravitate to proven winners. Here are five leading AI stocks to ...

The Random123 library is a collection of counter-based random number generators ( "CBRNGs") for CPUs (C and C++) and GPUs (CUDA and OpenCL), as described in Parallel Random Numbers: As Easy as 1, 2, 3 ...

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.

Lightning is a framework for data processing using GPUs on distributed platforms. The framework allows distributed multi-GPU execution of compute kernels functions written in CUDA in a way that is ...

Companies with impressive demand visibility, rapid innovation cycles, and robust supply chains can pleasantly surprise investors.

Nvidia burnished its open source credentials this week after buying the company behind the veteran Slurm scheduler and announcing a slew of open source AI models. The chip giant revealed yesterday ...

Abstract: Heterogeneous CPU-GPU systems are extensively utilized in high-performance computing. Compute Unified Device Architecture (CUDA) [1] is a model for programming the GPUs. A CUDA program ...

Abstract: A multi-GPU implementation of the multilevel fast multipole algorithm (MLFMA) based on the hybrid OpenMPCUDA parallel programming model (OpenMP-CUDA-MLFMA) is presented for computing ...