A little-known software platform called CUDA could be the real reason Nvidia remains so difficult to challenge.

Monday - Friday, 11:00 - 12:00 SIN/HK | 0500 - 06:00 CET In this video Bob O'Donnell, President and Chief Analyst of TECHnalysis Research, breaks down Jensen Huang's keynote address at Nvidia GTC ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. How wide is Nvidia's moat? This is the $3 trillion question on the minds of investors these days. At ...

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CUDA is Nvidia’s high-level software abstraction layer for apps to interact with its GPUs - without CUDA support on a CPU architecture, GPU functionality is limited at best. The AI arms dealer ...

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AMD closed the performance gap with Nvidia's Blackwell accelerators with the launch of the MI355X this spring. Now the company just needs to overcome Nvidia's CUDA software advantage and make that ...

Having developed CUDA in 2006, Nvidia has a multiyear head in AI chip programming, having developed a nice network effect over that time. Developers have learned to program GPUs only through CUDA for ...

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 ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...