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 ...

CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

SAN FRANCISCO, March 13 (Reuters) - When Jensen Huang strides onto the stage of a packed hockey arena to kick off Nvidia's annual developer conference on Monday, he is likely to reveal products and ...

By Stephen Nellis and Max A. Cherney SAN JOSE, California, March 16 (Reuters) - Nvidia CEO Jensen Huang has started his ...

The company is expanding beyond its chipmaking roots.

NEW HAVEN, Conn., Sept. 2, 2025 — Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its Aqumen software suite. The integration ...

RENO, Nev., Sept. 10, 2025 — Enterprise Linux platform company CIQ today announced it is collaborating with NVIDIA to integrate the NVIDIA CUDA Toolkit within its commercial offerings. This ...

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 ...

A small British software startup called Spectral Compute Ltd. believes it has what it takes to break Nvidia Corp.’s stranglehold on artificial intelligence data centers after raising $6 million in ...

Nvidia's moat is dependent on its CUDA software stack. Now behind in AI chips, Intel and a group of tech heavyweights are teaming up to disrupt CUDA's hold on the industry. Will the new open source ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia announced today it will accelerate quantum computing efforts at ...

In context: Intel CEO Pat Gelsinger has come out with the bold statement that the industry is better off with inference rather than Nvidia's CUDA because it is resource-efficient, adapts to changing ...