Runtime Environment

The practice of packaging an application and its dependencies into portable containers that run consistently across different environments.

An open-source containerization platform for building, packaging, distributing, and running applications as isolated containers across different environments.

An open-source container orchestration platform that automates the deployment, scaling, networking, and management of containerized applications across clusters of machines, making it a standard platform for running production AI and cloud-native workloads.

The process of making an AI model available for inference by deploying it behind an interface that accepts requests and returns predictions or generated outputs.

A deployment model where application code runs in ephemeral containers managed automatically by a cloud provider.

A software service that hosts one or more AI models and processes inference requests by receiving inputs, executing model predictions, and returning outputs through APIs while managing resources, batching, scaling, and hardware acceleration.