Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Today Nvidia announced that growing ranks of Python users can now take full advantage of GPU acceleration for HPC and Big Data analytics applications by using the CUDA parallel programming model. As a ...

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 ...

In Nvidia’s decade and a half push to make GPU acceleration core to all kinds of high performance computing, a key component has been the CUDA parallel computing platform that made it easier for ...

NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a decision that looked eccentric at the time: building a full programming platform ...

Architecting a direct, high-speed bridge between NVIDIA accelerated computing and full-stack quantum systems to enable hybrid feedback loops within a few microseconds This integration targets the ...

NVIDIA has this week announced the general availability of version 12 of its CUDA Toolkit. The latest version is the first major release in quite a few years and focuses on new programming models and ...