• Machine orchestration
  • Pipeline management
  • Batch inference
  • Real-time inference
  • Team management
  • Version control

For private cloud and on-premises


  • Machine orchestration
  • Pipeline management
  • Batch inference
  • Real-time inference
  • Team management
  • Version control
  • Custom installations
  • Single sign-on (SSO)

Plan comparison

Tailored pricing
Tailored pricing
Machine orchestration
Predictive model training on AWS, Azure, and Google Cloud Platformβœ“βœ“
Training data preprocessingβœ“βœ“
Batch predictionsβœ“βœ“
Real-time Inference service deployment (Kubernetes)βœ“βœ“
Batch inference deploymentβœ“βœ“
Private Azure/AWS/GCP cloud accountβœ“
On-premises installation (e.g. Openstack)βœ“
Pipeline accessWeb App, CLI, APIWeb App, CLI, API
Custom pipeline stepsβœ“βœ“
Unlimited training runsβœ“βœ“
On-premises pipeline installationβœ“βœ“
Third-party license to APIβœ“
Version Control
Project limitUnlimitedUnlimited
Run history (hardware, parameters, logs, etc.)UnlimitedUnlimited
Hyperparameter optimization historyUnlimitedUnlimited
Result data historyUnlimitedUnlimited
Hosted notebooks with version controlβœ“βœ“
Run your code on massively scalable infrastructureβœ“βœ“
Real-time logsβœ“βœ“
Hardware metricsβœ“βœ“
Public Git repositories (GitHub, GitLab, BitBucket)βœ“βœ“
Private Git repositories (GitHub, GitLab, BitBucket)βœ“βœ“
Training data
High-security data transferβœ“βœ“
Private data sources (AWS S3, Azure Blob Storage, Google Cloud Storage, etc.)βœ“βœ“
On-premises data sources (OpenStack Swift, Swiftstack, FTP, mount, etc.)βœ“
Data never leaves your cloud provider account, premises or data centerβœ“
Usage trackingIndividual, TeamIndividual, Team
Team access controlsβœ“βœ“
Active Directory sign upβœ“βœ“
Two-factor authentication (2FA)βœ“βœ“
Single sign-on (SSO)βœ“
Email supportβœ“βœ“
Chat supportβœ“βœ“
Phone supportβœ“βœ“
Private Slack channelβœ“βœ“
Custom enterprise SLAβœ“βœ“
Monthly checkup callsβœ“βœ“

I’m interested to hear more about Valohai’s pricing.

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Frequently-asked questions

We already have ongoing projects. Will Valohai easily integrate with them?

Running existing machine learning projects in Valohai is very simple! Integration only requires adding a valohai.yaml configuration file. Moving projects in and out of Valohai is easy – the integration is only the configuration file.

How do you compare to other data science platforms?

We don’t. Valohai isn’t a data science platform; it's a Machine Learning Management Platform that handles the whole ML pipeline from feature extraction, to training of your model and to deploying it into production in a reproducible manner. Data science platforms offer hosted notebooks and AutoML solutions.

Does Valohai charge for computation?

Depends. Most of our customers use their own cloud and thus pay for usage according to their own agreements. Valohai doesn't charge anything on top of the per-user license fee. If you don't have a cloud provider, you can use our AWS, GCP and Azure accounts, and we'll only charge you for what you use.