Streamlining Model Lifecycle with KubeRay

Fri, 24 May 2024 00:00:00 +0000

This blog is based on my work at CloudRaft!

Introduction

As the demand for ML and LLM models continues to grow, so does the need for reliability and scalability. Integrating Kubernetes into model development emerges as a powerful solution. By leveraging Kubernetes, we can streamline the process of model development, decrease costs, and enhance model reliability. This can be achieved using Ray on Kubernetes. But before that, let’s take a look at the lifecycle of an ML model.

mlops on Ritesh Sonawane

Streamlining Model Lifecycle with KubeRay

Introduction