[scribu]

A comparison with AWS's own offering (SageMaker Model Serving) would be helpful.

[ospillinger]

We solve a similar problem to SageMaker but we are focused on developer experience and flexibility.

- Deployments are defined with declarative configuration and no custom Docker images are required (although you can use your own if you want)

- You have full access to the instances, autoscaling groups, security groups, etc

- Less tied to AWS (GCP support is in the works)

- We are working on higher level features like prediction monitoring, alerting, and model retraining

- It's open source and free vs SageMaker's ~40% markup