AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

Nvidia and Palantir have been big winners in the AI trade, but Wall Street expects one of the stocks to decline in the next ...

In this video from SC17 in Denver, Doug Miles from NVIDIA presents: Accelerating HPC Programmer Productivity with OpenACC and CUDA Unified Memory. “CUDA Unified Memory for NVIDIA Tesla GPUs offers ...

NVIDIA's CUDA (Compute Unified Device Architecture) makes programming and using thousands of simultaneous threads straightforward. CUDA turns workstations, clusters—and even laptops—into massively ...

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 OpenCL ...

Nvidia dominates AI infrastructure with 94% market share, robust margins, and a $3-4T GPU TAM, balancing strong growth and ...

NVIDIA released CUDA 5, you can download it for free at the company's Developer Zone website. The new update promises to make NVIDIA's parallel computing platform easier than ever, it comes with new ...

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 ...

Programmer Bryan O'Sullivan has a great summary of NVIDIA's new CUDA technology. O'Sullivan actually sat down and did what few of us have done so far, and that's read all the way through NVIDIA's ...