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 ...

[Documentation Issue] (NVidia of course): The installation instructions simply specify cloning the repo, installing dependencies & running the install.py script. Running Garuda (Arch-based), and this ...

Hi, I am trying to install llama-cpp-python with GPU enabled. It worked for v0.2.77, but I need a more recent version. The issue is that by using v0.3.16 I had to use CMAKE_ARGS="-DGGML_CUDA=on" ...

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 ...

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.