Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

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 ...

The first rule of the Cuda Club? You don’t ask how much it’s worth. The second? You bring earplugs. Hidden in suburban Chicago, Tom Lembeck’s private Mopar sanctuary is less a garage and more a ...

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 ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

What they do: Conduct cutting-edge research in AI/ML, develop new algorithms, and push the boundaries of deep learning, computer vision, and NLP. Skills: Python, TensorFlow, PyTorch, statistical ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Install CMake (during installation choose add to path or after add to system environmental variable, cmake: C:\Program Files\CMake\bin) Trying to install cuda 11.8 with cudnn 9.1.1 installer (in the ...