Valohai
MLOps platform for ML and LLM workflows with full lineage
About Valohai
Valohai provides an MLOps platform where teams run pipelines, track experiments and datasets, and deploy models on their own cloud or on-premises infrastructure. It records lineage from data to deployment for reproducibility and audit.
Common use cases
- Reproducible training
- Audit-ready ML
- GPU efficiency
- LLM regression testing
Products and services
Model workflows
Dataset management, compute scaling, experiment tracking and pipelines.
LLM workflows
Model comparison, regression testing and cost analysis.
Lineage and reproducibility
Automatic versioning and one-click reproduction.
Key features
- Experiment tracking
- Pipelines
- Model registry
- Lineage tracking
- Multi-cloud orchestration
- Distributed training
Integrations
- AWS
- Microsoft Azure
- Google Cloud
- Kubernetes
- Snowflake
Valohai alternatives
- Weights & BiasesExperiment tracking, model registry and AI application tracing platform
- ClearMLAI infrastructure control plane with experiment tracking and GPU management
- Domino Data LabEnterprise platform to build, scale and govern AI and data science work
DatabricksData intelligence platform unifying data engineering, warehousing and AI
FAQs
Can it run on my own cloud?
Yes, with multi-cloud, on-premises and hybrid options.
Does it track lineage?
Yes, from data to deployment.
Does it support LLM work?
Yes, with workflows for comparison and regression testing.

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