What is Valohai used for?

Valohai is an MLOps platform for managing ML pipelines, experiments and LLM workflows on your own cloud, with full lineage from data to deployment. It is a good fit for teams comparing LLM configurations on real data, regulated organizations needing audit trails and ML groups orchestrating work across several clouds.

How much does Valohai cost?

Valohai doesn't publish fixed prices; pricing is quoted on request. A free trial is available. Pricing is not published; Valohai charges a fixed fee per user per month and quotes it through its sales team. A 14-day free trial is offered, with managed cloud or on-premises deployment.

Is Valohai open source?

No. Valohai is proprietary (closed-source) software. Open-source alternatives to Valohai include labml, MLflow and CML.

Can I self-host Valohai?

Yes. Although Valohai is closed source, it can be self-hosted on your own servers.

What are some alternatives to Valohai?

Valohai competes with Weights & Biases, Comet and Amazon SageMaker. For open-source options, see Enlisted's ranked list of open-source Valohai alternatives.

Valohai: features, pricing and alternatives

About Valohai

Valohai is a commercial MLOps platform for teams building AI products that mix large language models with specialized models. The vendor's pitch is that calling an LLM is easy, while comparing, evaluating and shipping configurations against real data is the harder part it aims to handle.

Features are grouped into LLM workflows such as model comparison, context pipelines, regression testing and cost analysis, and model workflows including dataset management, compute scaling, experiment iteration, pipelines and automation, and debugging. Reproducibility is a central theme, with automatic versioning, full lineage, one-click reproduction, and audit and compliance support.

Valohai runs on the customer's own infrastructure, including multi-cloud, on-premises and hybrid setups, with GPU efficiency and dataset caching to control compute use. The site offers a free start, a demo booking option and a pricing page.

Key features

LLM model comparison and regression testing
Automatic versioning and full lineage
One-click reproduction of experiments
Pipelines and automation for ML workflows
Multi-cloud, on-prem and hybrid orchestration
Dataset caching and GPU efficiency

Good fit for

→Teams comparing LLM configurations on real data
→Regulated organizations needing audit trails
→ML groups orchestrating work across several clouds

Tags: mlops; experiment-tracking; ml-pipelines; llm-evaluation; reproducibility; multi-cloud; ai-infrastructure

Valohai: questions and answers

What is Valohai used for?: Valohai is an MLOps platform for managing ML pipelines, experiments and LLM workflows on your own cloud, with full lineage from data to deployment. It is a good fit for teams comparing LLM configurations on real data, regulated organizations needing audit trails and ML groups orchestrating work across several clouds.
How much does Valohai cost?: Valohai doesn't publish fixed prices; pricing is quoted on request. A free trial is available. Pricing is not published; Valohai charges a fixed fee per user per month and quotes it through its sales team. A 14-day free trial is offered, with managed cloud or on-premises deployment.
Is Valohai open source?: No. Valohai is proprietary (closed-source) software. Open-source alternatives to Valohai include labml, MLflow and CML.
Can I self-host Valohai?: Yes. Although Valohai is closed source, it can be self-hosted on your own servers.
What are some alternatives to Valohai?: Valohai competes with Weights & Biases, Comet and Amazon SageMaker. For open-source options, see Enlisted's ranked list of open-source Valohai alternatives.