TrainEvaluateDeploy
Models are temporary, pipelines are forever.
Train, Evaluate, Deploy, Repeat. Valohai is the only MLOps platform that automates everything from data extraction to model deployment.
End-to-end ML pipelines
Automate everything from data extraction to model deployment.
We work with
LEGO Group
Success Story
Why Levity adopted Valohai instead of hiring their first MLOps engineer
Levity enables companies to automate workflows specific to their business using models trained on-demand with custom data sets.
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Even with all the ready-made pieces we could use to build our solution, it just becomes an unreasonable budget and resourcing request to build and maintain our own custom MLOps solution.Thilo Huellmann – CTO & Co-Founder at Levity
Here's how it works.
Latest blog posts
Product Update: End-to-End Automation
Juha Kiili / February 03, 2021In the past few months, we've rolled out three new features that highlight end-to-end automation on our platform: Deployment nodes in pipelines, Pipeline scheduler & Model monitoring.
What Is The Difference Between DevOps And MLOps?
Henrik Skogström / December 21, 2020If you are involved with production machine learning in any way, understanding MLOps is essential. For people with software development experience, the easiest way to understand MLOps is to draw a parallel between it and DevOps.
