LLMs in Production: Docker and Kubernetes for Machine Learning
· 4 min read
CTO, TitanML
In the present age, large language models are shaping our world in ways we never anticipated. They generate text, answer questions, and are even writing code. The power they possess to revolutionize the way we live our lives is profound. However, deploying these behemoths is a challenge. They're big, they demand significant compute resources to function, and the field of MLOps, which focuses on applying DevOps practices to machine learning workflows, is complex and still being explored.
In this blog post, we're going to introduce a crucial building block of modern MLOps - the container - and dive into a popular container orchestrator called Kubernetes. Let's start our journey into this exciting world.