Key features
- Multi framework: Cortex supports TensorFlow, PyTorch, scikit-learn, XGBoost, and more.
- Autoscaling: Cortex automatically scales APIs to handle production workloads.
- CPU / GPU support: Cortex can run inference on CPU or GPU infrastructure.
- Spot instances: Cortex supports EC2 spot instances.
- Rolling updates: Cortex updates deployed APIs without any downtime.
- Log streaming: Cortex streams logs from deployed models to your CLI.
- Prediction monitoring: Cortex monitors network metrics and tracks predictions.
- Minimal configuration: Cortex deployments are defined in a single
cortex.yaml
file.
https://github.com/cortexlabs/cortex
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