This is an adapted version of one delivered internally at NVIDIA - its primary audience is those who are familiar with CUDA C/C++ programming, but perhaps less so with Python and its ecosystem. That ...

This tutorial is essential for anyone interested in utilizing AI, generative AI applications, and open source programs on their computer. It provides comprehensive guidance on the proper installation ...

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 ...

Descrição: Neste vídeo, exploramos como otimizar código Python usando Numba e CUDA para acelerar tarefas de processamento de imagens. Demonstraremos uma implementação de código que busca de forma ...

Numbast introduces an automated pipeline to convert CUDA C++ APIs into Numba bindings, enhancing Python developers' access to CUDA's performance. The technological gap between Python developers and ...

Principal Engineer and leader at @NVIDIA, working on programming languages and systems. Co-host of ADSP: The Podcast. C++ Library Evolution chair emeritus. Frequent Oneworld flyer. Horology fan.

NVIDIA CUDA 13.3 introduces Tile C++ programming, Python updates, and CompileIQ, delivering up to 15% kernel speedups and enhancing GPU development. NVIDIA (NASDAQ: NVDA) has unveiled CUDA 13.3, the ...

NVIDIA’s CUDA 13.3 targets the divisions between Python and C++ engineers inside enterprise software teams building AI applications. Python teams often build fast prototypes, while C++ engineers spend ...