The company that does have a moat is Nvidia. CEO Jensen Huang has called it his most precious “treasure.” It is not, as you might assume for a chip company, a piece of hardware. It’s something called ...
NVIDIA leads AI infrastructure with Blackwell and CUDA driving adoption and moat. Click here to read an analysis of NVDA ...
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 ...
What just happened? Since its introduction in 2006, CUDA has been a proprietary technology running exclusively on Nvidia's own GPU hardware. Now, the GeForce maker appears ready to open CUDA to at ...
Spectral Compute is aiming to lower the barriers for companies migrating programs to other types of chips by making existing ...
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 ...
Nvidia ARM laptop chip N1X arrives at Computex 2026 with RTX 5070-class GPU and the full CUDA software stack — marking Nvidia’s first entry into Windows on ARM laptops. Jensen Huang reveals the chip ...
CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...
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