Cuda articles

Open source project is making strides in bringing CUDA to non-Nvidia GPUs

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role in fields such as artificial intelligence, scientific computing, and high-performance simulations. But running CUDA code has remained largely locked to Nvidia hardware. Now, an open-source project is working to break that barrier.

10 Things We Hate About Nvidia

Not just the hardware: How deep is Nvidia's software moat?

The big picture: Starting tomorrow, Nvidia is hosting its GTC developer conference. Once a sideshow for semis, the event has transformed into the center of attention for much of the industry. With Nvidia's rise, many have been asking the extent to which Nvidia's software provides a durable competitive moat for its hardware. As we have been getting a lot of questions about that, we want to lay out our thoughts here.

Opinion: Is anyone going to make money in AI inference?

Intel CEO argues inference is better for the industry, Nvidia CUDA days are numbered

Is Nvidia now a software stock? The competitive advantage of CUDA

The big picture: The world has gone mad for AI. Setting aside what the latest AI models are actually good for, it is not surprising that investors are looking for stocks with "AI exposure." Unfortunately, this turns out to be a fairly short list at the moment, and at the top of that list is Nvidia.

Has Nvidia won the AI training market?

Nvidia unveils Geforce GTX 700M GPUs, 780M claims fastest mobile graphics

Nvidia intros limited edition GeForce GTX 560 Ti with 448 CUDA cores

Nvidia intros GeForce GTX 460 SE with less CUDA cores