AMD has shared details regarding ROCm's latest update, version 7.2. The company has explained performance improvements and more. Alongside new hardware launches of the Ryzen AI 400 series, Ryzen ...

Palantir and Nvidia have each seen earnings soar in recent quarters thanks to their AI strengths. Their stocks have advanced more than 2,000% and 900%, respectively, in three years. It's not too late ...

What’s the biggest capital commitment in Big Tech right now? AI infrastructure—and Google is shoveling cash into it faster than anyone expected. Just how quickly has Google’s capital spending ...

The sun hasn’t finished clocking in when Vegas gets punched in the chest. Two Mopars roll into the beams like heavyweight champs at opposite ends of the same decade: a matte-black Challenger that ...

Thinking of getting an electric vehicle? E.V.s tend to be pricier than comparable gas cars, but they have lower maintenance costs. And charging with electricity is typically cheaper than stopping at ...

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 ...

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 ...

The Cloud Native Computing Foundation (CNCF) is anticipating the “inevitable” emergence of an open source alternative to Nvidia’s dominant Cuda parallel computing platform used to program graphics ...

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CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...