Deployment

Less than two months ago, the most powerful version of the Raspberry Pi 5 hit the market, featuring 16GB of RAM. While its price ($120 USD) is a valid discussion point, as someone who uses these devices as servers for deployment testing and efficiency evaluation at the code level, I want to explore its utility from a computer science perspective in the context of MLOps and LLMs testing. Raspberry Pi Utility Let’s start with some common applications to build on ideas: ...

Exploring the intersection of machine learning and DevOps - from model versioning to automated deployments. Featured Posts 📦 Artifact Design and Pipeline in MLOps Part I Introduction to artifacts, MLproject manifests, and pipeline orchestration for reproducible ML workflows. 🤖 MLflow for Generative AI Systems Learn how to use MLflow for tracing, evaluation, and versioning of LLM applications and Agentic AI systems. 🍓 Raspberry Pi 16GB, Servers, and MLOps Using Raspberry Pi as a development server for MLOps testing and edge deployments. ...