K-Serve is a highly scalable and standard-based model inference platform on Kubernetes for trusted AI. It addresses the challenges of deploying machine learning models in production systems.
- Deploying machine learning models in production systems is difficult and requires considering the cost of deployment, monitoring, security, and scalability.
- K-Serve is a solution that addresses these challenges by providing a highly scalable and standard-based model inference platform on Kubernetes for trusted AI.
- K-Serve integrates with multiple popular model servers in the industry and supports various machine learning frameworks.
- K-Serve defines a standard inference protocol to provide a unified user experience and easily integrate with multiple model servers.
- K-Serve addresses scalability limitations by reducing resource overhead and deploying multiple models in one inference service.