Valohai Hybrid AWS
ValohaiReviews from AWS customer
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Using Valohai changed the way we build and deploy Models
What do you like best about the product?
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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
We wanted a platform for our engineers to develop new ml models and be able to deploy them to production without much involvement from the infrastructure side and to prevent forgetting to terminate instances.
Great ML Ops platform!
What do you like best about the product?
Best things about Valohai:
- easy to use, great documentation, active support from their team
- covers most important ML workflows: model and experiment versioning, model deployment, hyper-parameter search
- smooth Github code and cloud compute integrations
- easy to use, great documentation, active support from their team
- covers most important ML workflows: model and experiment versioning, model deployment, hyper-parameter search
- smooth Github code and cloud compute integrations
What do you dislike about the product?
Not much to dislike. On a few rare occasions, we reached the limits of their available functionality, but always got help from their team to find a work-around or had the functionality available in a later release.
What problems is the product solving and how is that benefiting you?
Valohai has been key to our power to quickly train and deploy quality ML models for our clients to use. With their platform, our time-to-deploy for a project has decreased considerably. Iterating on the models we have deployed is now easier.
Valohai : platform that automates everything
What do you like best about the product?
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
What do you dislike about the product?
As of now there is no negatives in valohai. Everything works good and smooth
What problems is the product solving and how is that benefiting you?
Valohai through ML helped in extraction of data and modelling it to achieve the goal is achieved and the security provided was good with storage and its on cloud features
Great consultants
What do you like best about the product?
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!
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
We were solving , or intended to solve, data metrics problems with our DevSecOps pipeline. We wanted the ML tools to do forest looks and find out which decision trees were the most effective paths in the process
If you have a deep learning project, this is your to-go tool
What do you like best about the product?
- 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
- 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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
The company I work for creates software products with machine learning features and so far it was the best tool we have used for deep learning management.
Recommendations to others considering the product:
It takes care of many headaches connected to the machine learning (like integrating with various tools you already use and don't want to switch, or scalability, or the version control which helps to pinpoint the moment when something went wrong - or right.)
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