Getting Started
Intro :
Proper environment management is crucial in complex projects involving multiple languages, libraries, and frameworks. Thankfully, various tools have been created to address this, including Conda, Virtual Environments, Containers, and Pip.
Purpose :
The main purpose of using these tools is to ensure that the dependencies for one project don’t interfere with another. This is especially critical in complex AI/ML projects, where multiple libraries, frameworks, and languages may be used. The tools provide isolation, which helps avoid conflicts and ensures consistency across different development and production environments.
Objectives :
Educate users about the pros and cons of different tools: virtual environments, Conda, and containers.
Optimize AI/ML workflows by leveraging TACC’s high-performance hardware like GPUs, ensuring efficient use of resources.
Provide actionable instructions for building these environments with a focus on ease of use and compatibility with TACC machines