CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for general purpose computing on graphical processing units (GPUs). Python is one of the most popular programming languages today for science, engineering, data analytics and deep learning applications. However, as an interpreted language, it has been considered too slow for high-performance computing.

Numba, a Python compiler from Anaconda can compile Python code for execution on CUDA - capable GPUs, provides Python developers with an easy entry into GPU - accelerated computing and a path for using increasingly sophisticated CUDA code with a minimum of new syntax and jargon.

This webinar will give you an overview of CUDA Python and Numba.

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