May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Cloud containers
Unlike local containers, cloud containers are available on the server side that can be remotely accessed from anywhere. Physical maintenance costs are heavily reduced in such scenarios.
One great example of cloud based containerization is Google Colaboratory (Colab) that allows execution of Linux Terminal commands, in addition to Python-based development and testing on Jupyter notebooks. For a brief overview on Jupyter Notebook and Jupyter Lab, please refer to Chapter 5, Setting Up Your Environment for GPU Programming.
The GitHub page for Colab's backend container can be found at https://github.com/googlecolab/backend-container.
Our primary focus in this section is Google Colab on the cloud, specifically because, since April ...
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