Nvidia stock hits record highs as U.S. export licenses unlock access to China’s $50B AI market. Click here to read an ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...

The stock is worth $4 trillion for a good reason. Nvidia's dominance in AI chips allows it to earn very high margins. Nvidia ...

By enabling CUDA applications to run on third-party GPUs from AMD, Intel, and others, this effort could dramatically expand ...

Apple backs a project to add Nvidia CUDA support to its MLX framework, enabling a cost-effective 'develop on Mac, deploy on ...

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI strategy.

That said, Nvidia is likely too large now to replicate its past investment returns. Low-double-digit annualized returns seem more realistic, making Nvidia a fantastic addition to a diversified ...

CUDA, Nvidia's proprietary software toolkit that allows developers to harness the power of the company's GPUs, has been around for nearly two decades.

On January 17, 2025, NVIDIA will remove 32-bit native and cross-compilation from the CUDA 12.0 and later toolkits, ending support for developing and debugging 32-bit CUDA applications.

CUDA, Nvidia's proprietary software toolkit that allows developers to harness the power of the company's GPUs, has been around for nearly two decades.