
·DevOps
Module 14 Lesson 2: Project: Python AI/ML Workspace
Handle the heavy lifting. Learn how to containerize a Python Data Science environment with Jupyter Notebooks, Pandas, and GPU support.
4 articles

Handle the heavy lifting. Learn how to containerize a Python Data Science environment with Jupyter Notebooks, Pandas, and GPU support.

Model management at scale. Explore how a data science team uses GitLab CI/CD to build, test, and deploy a Python microservice with GPU support and automated model versioning.
Choosing the right engine for your AI. A technical comparison of how different processors handle LLM workloads.
Parallel power. How to configure Ollama to use multiple graphics cards for giant 70B models.