Containerization on GPU-Enabled Platforms

In this new chapter, we will continue our exploration with GPUs while specifically focusing on user accessibility. You will learn about different environments to choose from when setting up a GPU-based programmable platform. These environments will be compared and discussed to help you decide on the most suitable one pertaining to usability and different situations or conditions. Following this, system-wide and virtual environments will be explained. Their advantages and disadvantages will also be explored.

Virtualenv, which is similar to Conda, will be discussed as an example of a closed environment separate from the base system. We will also look at a scenario where both system-wide and Virtualenv ...

Get Hands-On GPU Computing with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.