Valohai Reviews & Product Details - Page 3

their product works great and even for edge cases that need investigation, their team is awesome at supporting us. We can rely on their tools within our own infrastructure Review collected by and hosted on G2.com.

Only minor things come to my mind (I like flat UI's). Another minor improvement could be a better way to connect their Testing UI to on-premise Kubernetes instances. Review collected by and hosted on G2.com.

Integration with popular Cloud platforms in the market. Support for the client is very useful and guidance on how to use best practices is a great service. Review collected by and hosted on G2.com.

Local use could be a bit tricky, however they support local implementation if it's needed. Review collected by and hosted on G2.com.

We used Valohai to help us a build a plan for ML integration. They were awesome in cutting through the fluff and telling us exactly what we needed. A great team! Review collected by and hosted on G2.com.

Their answers meant we weren't likely to be able to use ML. We were a little too early in the process but we wouldn't have known without their expert help. It is always worth it to expand and explore. Review collected by and hosted on G2.com.

Valohai is an automation tool which has good proficiency and accuracy in case of data extraction and deploying it. The time of extraction is less and it shows a better performance Review collected by and hosted on G2.com.

As of now there is no negatives in valohai. Everything works good and smooth Review collected by and hosted on G2.com.

- Valohai allows easy management for deep learning, which is usually covered by a multitude of tools and is a hassle to manage. It brings all the tools you use in one place and therefore, besides huge amounts of data that your machine learning algorithms have to deal with, you don't have to deal with several various platforms.

- Version control for machine learning algorithms. I think this is one of the major value-added points of Valohai. Most of the time, you get only the beginning set of data and the "learned" result (with no idea or a basic idea of what happened in between). Valohai allows you to track all that info and therefore give you an option to repeat the experiment changing a couple of factors that didn't point your algorithm in the right direction (instead of guessing and trying)

- pipeline automation is another feature of Valohai's platform which promotes API-first development, therefore it's easy to integrate the pipeline into your existing development processes

- easy to scale up the project

- Valohai has good example cases that prove that this thing works Review collected by and hosted on G2.com.

So far, I haven't encountered any problems. It supports a multitude of various ML/AI/Deep Learning/Other tools, therefore it adapts to what I do, not the other way around. Review collected by and hosted on G2.com.