The open source AI ecosystem has matured quickly, and many developers start by using tools such as Ollama or LM Studio to run large language models (LLMs) on their laptops. This works well for quickly testing out a model and prototyping, but things become complicated when you need to manage dependencies, support different accelerators, or move workloads to Kubernetes.Thankfully, just as containers solved development problems like portability and environment isolation for applications, the same applies to AI models too! RamaLama is an open source project that makes running AI models in containe
