Nvidia’s CES 2026 keynote unveiled Alpamayo, a reasoning AI for self-driving cars, plus new supercomputers, speech AI, and robotics models.

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...

Discover why Nvidia Corporation is rated Buy, backed by strong growth, fair valuation, and breakout potential. Click for more ...

In the AI era, competition among chipmakers goes beyond compute power and centers on ecosystem and full-stack integration. Beijing-based Cambricon Technologies, an AI chip designer affiliated with the ...

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 ...

Old-timers might recall the idea of "RISC" as a once-upon-a-time processor design ideology. RISC processors were mostly used for servers from Sun Microsystems, DEC, and other companies of a bygone era ...

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 ...

NVIDIA unveils CUTLASS 4.0, introducing a Python interface to enhance GPU performance for deep learning and high-performance computing, utilizing CUDA Tensors and Spatial Microkernels. NVIDIA has ...

For many years, CuPy has been the one-stop shop for using NVIDIA CUDA GPUs in Python. It provides many functionalities, way beyond what’s publicly known (“NumPy/SciPy for GPUs”), for example Python ...

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 ...