Overview
Explore the intersection of DevOps and AI in this 34-minute talk from WeAreDevelopers. Dive into the practical aspects of deploying and managing Large Language Models (LLMs) in production environments using Kubernetes and KubeFlow. Learn how to leverage these powerful tools to streamline the deployment process, ensure scalability, and maintain high performance for AI applications. Gain insights into best practices for containerization, orchestration, and workflow management specifically tailored for LLMs. Discover strategies to overcome common challenges in AI deployment and understand how DevOps principles can be applied to machine learning operations. Whether you're a developer, data scientist, or DevOps engineer, this talk provides valuable knowledge for running sophisticated AI models in real-world production scenarios.
Syllabus
DevOps for AI: running LLMs in production with Kubernetes and KubeFlow
Taught by
WeAreDevelopers