Valohai
Valohai is a comprehensive MLOps platform designed to streamline complex machine learning workflows from experimentation to deployment.
Our verdict
Who it's for
The scalable MLOps platform enabling CI/CD for ML and pipeline automation on-prem and any-cloud.
Who should look elsewhere
Pricing details are not transparently listed and require a custom quote
Pros
- +Ensures full reproducibility of ML experiments and models
- +Offers flexibility to run ML workloads on any cloud or on-premises infrastructure
- +Simplifies MLOps by abstracting infrastructure management
- +Supports any ML framework, language, or library via Docker containers
- +Provides unlimited projects, experiments, pipelines, and deployments with per-user pricing
Cons
- −Pricing details are not transparently listed and require a custom quote
- −Requires integration with existing systems, which might involve initial setup efforts
Key features
- ✓Automatic versioning with complete lineage of ML experiments, datasets, and models
- ✓Hybrid and multi-cloud support for AI workload management
- ✓Smart orchestration of ML workloads on any infrastructure (cloud or on-premise)
- ✓Framework and language agnostic development environment
- ✓CI/CD pipelines for ML automation
- ✓Model deployment for batch and real-time inference
- ✓Hyperparameter optimization
- ✓Human-in-the-loop workflows
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Per-User License | — | month | Unlimited Projects; Unlimited Experiments; Unlimited Pipelines |