Valohai
MLOps platform bringing CI/CD automation to machine learning pipelines.
About
Valohai is a machine learning operations platform that fully automates the ML lifecycle from data extraction through model deployment. Teams point Valohai at their code and data, and the platform launches workers, executes experiments, tracks every artifact with automatic versioning, and shuts down instances when done, delivering complete lineage and reproducibility.
The platform is framework-agnostic, working with any programming language or ML library, and orchestrates workloads across hybrid and multi-cloud environments as well as on-premises infrastructure. Features include smart orchestration with single-click execution, CI/CD pipelines for ML, an open API, and audit trails that trace any experiment back through scripts and notebooks to the original data.
What it can do
- End-to-end ML pipeline automation
- Automatic versioning of experiments and artifacts
- Framework-agnostic with any language or library
- Hybrid and multi-cloud orchestration
- CI/CD for machine learning with audit trails
Setup
Create a Valohai account; define pipelines in valohai.yaml and connect your compute.
Prerequisites
ML codebase and datasets; cloud or on-prem compute for execution.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 134; Trending score 74/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.