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TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Moving our local Jupyter notebooks to GPU’s on cloud — Deep learning on AWS

Stop being limited by the local system resource and move your deep learning workloads to cloud GPU

5 min readJun 13, 2020

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Photo by Zii Miller on Unsplash

Get GPU from AWS

Let’s create a GPU instance for our Deep Learning workloads. We need an AWS EC2 instance for this. Login to AWS web console and lookup for the EC2 service and click Launch Instance.

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Look for the Deep Learning AMI ‘s. These are preferable since they come with Python3, Jupyter and lot of other libraries pre-installed. Select an instance type that might be suitable for you.

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Nikita sharma
Nikita sharma

Written by Nikita sharma

Data Scientist | Python programmer

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