GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Nvidia Corporation unveils a major CUDA update to counter Triton, boosting GPU programming and solidifying its AI software ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

Software compatibility differs substantially, with Nvidia supporting CUDA, TensorRT-LLM, PyTorch, JAX and Triton, while Google’s TPU works with JAX/XLA, TensorFlow and emerging PyTorch/XLA, according ...

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 ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Canonical will package AMD ROCm directly in the Ubuntu 26.04 LTS repos, making it much easier to get GPU-accelerated ...

Canonical natively integrates AMD's GPU platform ROCm into Ubuntu 26.04 LTS. Developers will soon be installing software for ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...