Semiconductor News & Analysis Feed

NVIDIA has released version 1.0 of nvmath-python, a library designed to bridge the gap between the Python scientific community and NVIDIA's CUDA-X math libraries. This tool enables Python users to access high-performance mathematical operations from CUDA-X without disrupting existing workflows. It s

NVIDIA has introduced a significant enhancement to its TensorRT inference engine, enabling developers to observe and cancel long-running engine builds in Python or C++. Previously, TensorRT engine builds could take seconds to minutes, leaving developers staring at frozen terminals with no indication

This news reports on GPU snek, a Python implementation based on NVIDIA's CUDA technology. This project provides developers with a platform to run Python code on GPUs, leveraging NVIDIA's technological advantages in graphics processors. CUDA, as NVIDIA's core technology, provides powerful support for

NVIDIA's release of CUDA 13.3 marks a significant step forward in its unified GPU programming stack, introducing CUDA Python 1.0 for stable Python-based GPU computing and CUDA Tile for C++, expanding support for high-performance computing across multiple languages. The update also features the Compi

NVIDIA's release of CUDA 13.3 introduces significant enhancements for GPU developers, including the new Tile programming model, compiler auto-tuning capabilities, and improved Python support. The Tile programming in C++ enables high-level kernel development that abstracts complex low-level GPU opera