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 ...

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" ...

Nvidia has released a new mathematical Python library specialized for Cuda-X. It offers direct, Python-like access to the mathematical core operations of Cuda-X without having to use additional C/C++ ...

OS: Windows GPU: NVIDIA GeForce RTX 5060 Ti NVIDIA Driver Version: 577.00 CUDA Version (from nvidia-smi): 12.9 Python Version: 3.12 Visual Studio: Visual Studio 2019 with "Desktop development with C++ ...

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 ...

Installing NVIDIA CUDA on Ubuntu desktops is about to get a whole lot easier, as Canonical today announced plans to package and distribute the latest releases in the Ubuntu repositories. Currently, to ...