Autoscaling vLLM with OpenShift AI

This blog post explores the autoscaling capabilities of vLLM with OpenShift AI, focusing on optimizing GPU resource utilization by leveraging KServe's functionalities. It details the deployment process, including serverless scaling, configuring hardware profiles, and utilizing Knative for managing model server replicas based on request loads. The post also addresses potential limitations and strategies for scaling, making it valuable for developers working with LLMs and Kubernetes.