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

cuRobo is a CUDA accelerated library containing a suite of robotics algorithms that run significantly faster than existing implementations leveraging parallel compute. cuRobo currently provides the ...

Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

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

Nvidia has become shorthand for the artificial intelligence boom, but its most durable advantage may emerge in a very ...

Connected Component Labeling (CCL) is a well-known algorithm with many applications in image processing and computer vision. Given the growth in terms of inter-pixel relationships and the amount of ...

Nvidia Corporation unveils a major CUDA update to counter Triton, boosting GPU programming and solidifying its AI software ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

Chris Lattner helped build the software behind Google TPUs. Now he's coming after Nvidia.

Nvidia just updated its CUDA platform and made it a lot more attractive for developers. Is this a game-changer for NVDA stock ...

Abstract: The entire world of parallel computing endured a change when accelerators are gradually embraced in today's high-performance computing cluster. A hybrid CPU-GPU cluster is required to speed ...