Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

In celebration of the festive season, schools and colleges are closed in India. This is the right time to enjoy and learn some self-paced courses. In this article, we will be sharing some free Python ...

Abstract: CUDA is a parallel computing platform and programming model for the graphics processing unit (GPU) of NVIDIA. With CUDA programming, general purpose computing on GPU (GPGPU) is possible.

Julia combines speed and clarity, ideal for technical computing, data science, and high-performance applications. Free courses from MIT, Coursera, Alison, and YouTube make learning Julia accessible to ...

NVIDIA's CUDA Toolkit 13.0 introduces innovative features like tile-based programming and unified Arm platform support, enhancing developer productivity and GPU performance. The latest iteration of ...

Artaxerxes - Adaptive High-Performance Stress Tester v.1.0. Rebuild old version Xerxes DDoS. Supports GPU+io_uring, DPDK, eBPF/XDP with intelligent fallbacks. Educational tool for advanced ...

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 ...