Build AI hackathon projects on AMD MI300X GPUs with $100 in free credits, ROCm open-source stack, and free courses from the ...

In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision acceleration can be explored in a realistic deep ...

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things like making websites, crunching data, and even AI. The good news is, you don’t need to spend ...

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

Competition in the GPU industry ultimately comes down to developer ecosystems. Against that backdrop, Moore Threads' inaugural MUSA Developer Conference (MDC 2025) on December 20-21 marked a clear ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...

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 ...

IBM Corp.’s Red Hat subsidiary today announced a series of updates intended to simplify and secure the deployment of artificial intelligence workloads across commercial, government and hybrid cloud ...