Microsoft’s new tool makes it possible to use your own GPU to work with popular machine learning platforms.

Triton uses Python’s syntax to compile to GPU-native code, without the complexities of GPU programming.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO.

Spark has a concept of a data frame, and so does the Python NumPy analytics routines commonly used in analytics, and these are common data formats that would allow different parts of a composite ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

The GPU has evolved from just a graphics chip into a core components of deep learning and machine learning, says Paperspace CEO Dillion Erb.

What do chip companies have to teach us about algorithms? The answer is that nowadays, for machine learning (ML), and particularly deep learning (DL), it’s all about GPUs.

AMD says that FSR 4 was "developed for RDNA 4 and the unique compute aspects of the RDNA 4 AI accelerators", which means that this new machine learning-powered solution will need an RX 9070 XT or ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...