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 ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

NVIDIA announced  the CUDA software stack is being deployed across various operating systems and package managers. The company said it - Read more from Inside HPC & AI News.

NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...

The first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...