Review on Valohai by Kevin Mitchell

The UI looks easy enough for my users who may not be developers, but it can also pull configuration options in bulk that will suit your more technical customers too!The system offers lots of functionality which makes this easier than creating them all yourself - that's what I would like you guys to add as some new features soon :)Great support when we've had issues with getting something working properly or being informed about things happening elsewhere (which has been good!). Would love if there were any examples around showing how people might use these tools together rather then an end-to-end solution where everyone starts at square one. Our implementation process started by setting up CI/CD infrastructure using Jenkins + JFrog Artifactory, deploying our Docker images via docker hub into private registries managed through jfrog artifactory. The ability of the tool to be used for multiple different use cases. It supports both traditional machine learning models as well as more novel AI/ML-based solutions, such as deep learning models.The UI could have been better designed (more modern) but it works just fine. We were able to deploy our models in less than 30 minutes. This allowed us to provide faster insights to customers.