Aegis-GPU8.1 Environment files
env.yaml and requirements.txt, and versioned project configuration.
Key points
An environment file is a text file that lists the packages a project needs. Anyone can rebuild the same environment from it.
What NVIDIA says (2)
“To begin, you will need to create a few local files for your custom build: a Dockerfile and a configuration file ( env.yaml for conda or requirements.txt for pip).”
“When using conda , edit your local env.yaml file to add the desired libraries.”
AI Workbench is NVIDIA's tool for managing data science projects in containers. Keeping environment config next to code lets anyone rebuild it.
What NVIDIA says (2)
“Versioned configuration files let you define and adapt environments to machines and users.”
“Both code and environment are Git managed with changes detected and surfaced in the Desktop App.”
Key terms
- NVIDIA AI Workbench: An NVIDIA tool that manages data science projects in containers with Git-managed code and environments.
- Environment file: A text file, such as env.yaml or requirements.txt, that lists the packages a project needs.
- Container: A packaged environment with an app and its dependencies that runs the same on any host.
Sample question
You build a custom RAPIDS container. Which file lists the libraries to install when you use conda?
Show the answer
Answer: An env.yaml file (requirements.txt plays this role for pip)
An environment file is a text file that lists the packages a project needs. Anyone can rebuild the same environment from it.
What NVIDIA says (2)
“To begin, you will need to create a few local files for your custom build: a Dockerfile and a configuration file ( env.yaml for conda or requirements.txt for pip).”
“When using conda , edit your local env.yaml file to add the desired libraries.”
Practice 8.1 (2 questions) Full Software and Environment Management guide
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