Deploy machine learning in production
Cortex makes it simple to deploy machine learning models in production
What you can do with Cortex
Write APIs in Python
Define any real-time or batch inference pipeline as simple Python APIs, regardless of framework or hardware.
Configure infrastructure in YAML
Define autoscaling behavior, monitoring, compute resources, update strategies, and more—or use Cortex's defaults.
Focus on machine learning
You don't need to bring your own cluster or containerize your models—Cortex automates your cloud infrastructure.
Scale to handle production traffic
Handle traffic with request-based autoscaling. Optimize spend with spot instances and multi-model APIs.
Integrate with your stack
Integrate Cortex with any data science platform and CI/CD tooling, without changing your workflow.
Run on your AWS account
Run Cortex on your AWS account (GCP coming soon), maintaining control over resource utilization and data access.