Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Nvidia Corporation has launched its largest CUDA update in two decades, signaling a strategic response to open-source competition from Triton. The NVDA update introduces a tile-based programming model ...

The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...

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 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 ...

AMD is hoping to win over artificial intelligence (AI) developers in Asia-Pacific with its open software ecosystem and help the region compete on a global stage without relying on proprietary AI ...

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 ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

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 introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

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 ...