Unlock AI Innovation with Clear, Per-User Pricing

Valohai offers straightforward, predictable pricing to help you concentrate on innovation rather than expenses. With Valohai, you pay per user license, not the scale of work you do on the platform, so you can scale your AI projects without worrying about hidden costs or unexpected fees.

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All Valohai subscriptions include:

Unlimited Projects

Create as many projects as you need to drive innovation.

Unlimited Experiments

Run as many ML experiments as you need to achieve your goals.

Unlimited Pipelines

Automate your ML workflows with an unlimited number of pipelines.

Unlimited Deployments

Deploy your models to production without limitations.

Auto-scaling Compute

Scale your compute resources up or down based on your needs to optimize costs.

On-premises or Managed Cloud

Valohai can be deployed as a fully managed cloud service, on-premises, in a private cloud, or in air-gapped environments.

Advanced Security and Access Control

Keep your data secure with advanced security features and access control.

Technical Support

Get help from our Customer Engineering team and access Valohai Training academy.

Training and Onboarding

Get access to training and onboarding resources to help you get started with Valohai.

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Valohai's Capabilities

Valohai abstracts away the complexity of managing ML infrastructure, so you can focus on building and deploying models.

Simplified MLOps

Focus on building ML models without worrying about managing infrastructure.

Experiment Tracking

Track and version your ML experiments to ensure reproducibility.

Hyperparameter Optimization

Optimize your hyperparameters to achieve the best model performance.

Data Versioning

Track and version your data to facilitate collaboration and lineage tracking.

CI/CD Pipelines for ML

Automate your ML workflows with CI/CD pipelines.

Triggers

Trigger pipelines based on events or schedules to automate your ML workflows.

Model Versioning

Track and version your models to enable easy handoff between team members.

Human-in-the-loop Workflows

Support human-in-the-loop workflows to enable collaboration between data scientists and domain experts.

Data Tagging and Querying

Tag and query your data files for easy retrieval and analysis.

Git-based Workflows

Ensure reproducibility by tracking your ML code and configuration in Git.

Framework & Language Agnostic

Use any ML framework or programming language you prefer (e.g., Python, R, TensorFlow, PyTorch, scikit-learn, etc.).

Orchestration on Multiple Technologies

Run ML workloads on Virtual Machines, Kubernetes, Slurm, or any other technology available in your environment.

Setup on Any Cloud

Run your ML workloads on any cloud provider or on-premises.

Track Costs and Usage

Monitor your usage and costs in real-time to optimize your spending.

Secure Your Data

Keep your data secure with advanced security features such as encryption at rest and in transit.

Access Control

Manage access levels across projects, data, and computational resources, seamlessly integrated with your SSO framework.

Scale Your Resources

Auto-scale your compute resources up or down based on your needs to optimize costs.

Distributed Training

Train your models on multiple nodes simultaneously using model and data parallelism to significantly reduce training times.

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Building a barebones infrastructure layer for our use case would have taken months. With a self-managed platform, you need to build and maintain every new feature. But with Valohai, they come included.

Renaud Allioux – Co-Founder & CTO

We don’t have to think too much about committing to one cloud provider. We can develop everything within the hybrid-cloud setup under Valohai with minimal changes to our code.

Petr Jordan – Co-Founder & CTO

Frequently Asked Questions

How do I purchase a Valohai subscription?

To purchase a Valohai subscription, please contact our Sales team here. They will help you choose the right plan for your needs and guide you through the purchasing process.

How does Valohai pricing work?

Valohai pricing is based on a per-user license model. You pay a fixed fee per user per month, regardless of how many projects, experiments, pipelines, or deployments you use. This pricing model allows you to scale your AI projects without worrying about hidden costs or unexpected fees.

Can I try Valohai before purchasing a subscription?

Yes, you can try Valohai for free with our 14-day trial. During the trial period, you will have access to all Valohai features and capabilities. If you want to extend your trial or need more information, please contact our Customer Engineering within your trial environment.

What is included in the Valohai subscription?

All Valohai subscriptions include unlimited projects, experiments, pipelines, and deployments. You also get access to advanced security features, technical support, training, and onboarding resources.

Can I deploy Valohai on-premises or in the private cloud?

Yes, you can deploy Valohai on-premises or in the private cloud. Valohai supports both on-premises and managed cloud deployments to meet your business needs. You can also deploy Valohai in air-gapped environments.

Do you offer technical support?

Yes, all Valohai subscriptions include access to our technical support team. Our support team is available to help you with any issues you may encounter.

Why don't you show pricing on the website?

We believe in transparent pricing, but we also understand that every customer's needs are unique. By working with our sales team, we can tailor a pricing plan that meets your specific requirements and budget. This approach allows us to provide the best value to our customers and ensure that you only pay for what you need.

How do I contact the Valohai Sales team?

To contact the Valohai Sales team, please book a meeting by following this link. Our Sales team will discuss your needs and help you choose the right plan for your organization.

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