Practical side of Machine Learning daily operations. Empirical decisions made to keep it all up and running. Some considerations to chose node (CUDA, OpenCL, Neuron), vector database(OpenSearchkNN, PgVector, Weaviate, Milvus). LLMs to try for not all money in the world (Ollama, OpenwebUI with autoscaling). Basic taxonomy of model files and formats.