Quick question: how did you learn to code? It probably wasn’t bribing someone a year or two ahead of you in CS to finish all ...

NVIDIA’s CUDA 13.3 targets the divisions between Python and C++ engineers inside enterprise software teams building AI applications. Python teams often build fast prototypes, while C++ engineers spend ...

Forgive me for starting with a cliché, a piece of finance jargon that has recently slipped into the tech lexicon, but I’m afraid I must talk about “moats.” Popularized decades ago by Warren Buffett to ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

WASHINGTON, DC - APRIL 30: U.S. President Donald Trump (L) listens as Nvidia CEO Jensen Huang speaks in the Cross Hall of the White House during an event on "Investing in America" on April 30, 2025, ...

In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in the transition to the next era of computing. Just as Intel Corp. had a lock ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...