Cortex
A platform for deploying, managing, and scaling machine learning models in production on AWS infrastructure.
What is Cortex?
Cortex is a production infrastructure platform for machine learning that enables teams to deploy, manage, and scale ML models on AWS. It provides serverless APIs for real-time inference, async processing, and batch jobs while automating cluster management and observability. The platform reduces the operational overhead of running ML in production by handling scaling, monitoring, and infrastructure provisioning.
Machine learning engineers, data scientists, and DevOps teams who need to deploy and scale ML models in production on AWS infrastructure. It's particularly useful for organizations running multiple models or requiring high availability and cost efficiency.
Developers choose Cortex because it offers a specialized, AWS-native platform that abstracts away Kubernetes complexity for ML workloads. It provides built-in autoscaling, multi-environment support, and integrations with existing AWS services and monitoring tools, making it easier to operationalize models compared to building custom infrastructure.
Overview
Production infrastructure for machine learning at scale
Use Cases
Best For
- Deploying real-time ML model APIs with automatic scaling
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