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 ...

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 ...

Nvidia has spent nearly two decades turning a programming toolkit into one of the most powerful competitive advantages in the semiconductor industry. That toolkit, called CUDA, now underpins virtually ...

The technology that underpins the ongoing AI revolution in tech is also driving Nvidia’s push into new areas such as quantum ...

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 ...

Nvidia Corp. said today it’s adding a new, microservices-based layer to its popular Nvidia AI Enterprise platform, giving generative artificial intelligence model developers, platform providers and ...

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 ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum computing with AI and machine learning. Quantum Circuits announced that its dual ...

Emulation is not just the sincerest form of flattery. It is also how you jump start the adoption of a new compute engine or move an entire software stack from one platform to another with a different ...

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 ...

Nvidia’s $1 trillion GPU demand outlook shows a powerful AI growth runway that could support further stock upside.