This week NVIDIA has announced the release of its latest CUDA development environment in the form of the CUDA 11.6 Toolkit which is now available to download directly from the NVIDIA developer site.

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

NVIDIA has this week announced the general availability of version 12 of its CUDA Toolkit. The latest version is the first major release in quite a few years and focuses on new programming models and ...

Over the email transom today, news that NVIDIA has released the latest version of its CUDA toolkit. There are a lot of changes; here are a few from the list The CUFFT Library now supports ...

Late last week NVIDIA announced release 3.0 of the CUDA Toolkit, which includes tools for developers getting ready for the next gen Fermi hardware. Dr. Dobb’s highlights the key features of this ...

Trying to install Jax with compatible CUDA and CuDNN versions. pip install -U "jax[cuda12]" threw a warning that should've been an error. jax_cuda_releases.html threw ...

NVIDIA has announced that they’re wrapping up support for their older GPU architectures – Maxwell, Pascal, and Volta. This means that while the CUDA Toolkit 12.x series will still support these older ...