Jacob Tomlinson • 8/13/2019

Setting up GPU Data Science Environments for Hackathons

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This technical article details the process of configuring a GPU-accelerated data science environment for a hackathon. It covers setting up a JupyterHub server on an AWS p3.8xlarge instance, installing NVIDIA CUDA drivers for Tesla V100 GPUs, and integrating the Littlest JupyterHub (tljh) with necessary adjustments for GPU support, aimed at Python developers new to GPU computing.

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#aws #Data Science #hackathon
Setting up GPU Data Science Environments for Hackathons

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