A GPU-accelerated N-body gravitational simulation demonstrating 13,000× speedup over CPU baseline through CUDA parallel computing. This project showcases GPU programming techniques using Python with ...

Wistron announced the launch of the Wistron Computing Power Donation Program, pledging to donate 1 million GPU hours annually starting in 2026. The free resources will be made available to promising ...

According to Andrew Ng on Twitter, the strategic focus on GPUs was a pivotal decision for advancing artificial intelligence, enabling breakthroughs in deep learning ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

A graphics card is a key component in any gaming PC, responsible for processing and displaying images on the screen. Unlike the CPU, which performs universal tasks, the GPU is specialized in parallel ...

Reddio proudly announces the launch of its Mainnet Alpha, bringing the world’s first GPU-Accelerated Parallel EVM architecture to live production. Purpose-built for compute-intensive and AI-native ...

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 ...

Exascale computing can process over a quintillion operations every second — enabling supercomputers to perform complex simulations that were previously impossible. But how does it work? When you ...

At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...