"For someone like me, with an engineering background and familiarity with Docker images, it was very easy to just jump into Valohai. We just configured our testing environment in Docker images and then configured the tests themselves in the Valohai YAML file, imported the project and boom. We had 30 …

"Large-scale experimentation tends to be tricky because you’ll need to manage cloud resources, and mistakes can be quite costly. With Valohai, though, that stress is gone, and we can focus on the actual data science. The version control of all parts of an experiment, from code to data to environment, …