NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...

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 is the undisputed leader in professional GPU applications, and that doesn’t come down solely to making the best graphics cards. A big piece of the puzzle is Nvidia’s CUDA platform, which is the ...

AMD launched the latest version of its ROCm AI software stack last week, putting it in a better position to compete with Nvidia for AI hardware customers. Although the performance of AI chips is a key ...

NVIDIA maintains a near-monopoly in AI hardware, underpinned by its CUDA software ecosystem and rapid time-to-market execution. Google's vertically integrated TPU strategy poses a significant ...

NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...

The company said they can now embed CUDA into their package feeds, which will simplify installation and dependency resolution. “It’s particularly beneficial for incorporating GPU support into complex ...

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ZLUDA, an open-source CUDA translation layer, has lived two quite vivid lives with Intel and then AMD GPUs. It was nearly killed in August when AMD asked to take down the code developed using its ...

NVIDIA’s long-standing dominance in the AI GPU market, primarily attributed to its proprietary CUDA ecosystem, is facing new challenges as competitors develop alternative solutions to break the ...