![]() If you are starting your career it’s better to understand exactly how all the pieces are working together, experiment with many tools and frameworks, and do it in a cost-effective way. Nevertheless, every data scientist needs a local environment. They are also great in terms of productizing your solution and exposing an inference endpoint. You can set up a VM, container, or use a ready-made environment that presents you with a Jupyter notebook. Public clouds offer a great set of solutions for data professionals. ![]() ![]() I would however recommend reading the reasoning behind certain choices to understand why this is the recommended setup. TLDR If you just want a tutorial to set up your data science environment on Ubuntu using NVIDIA RAPIDS and NGC Containers just scroll down. ![]()
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