Pricing
Pro
- Machine orchestration
- Pipeline management
- Batch inference
- Real-time inference
- Team management
- Version control
For private cloud and on-premises
Enterprise
- Machine orchestration
- Pipeline management
- Batch inference
- Real-time inference
- Team management
- Version control
- Custom installations
- Single sign-on (SSO)
Plan comparison
Pro Tailored pricing | Enterprise Tailored pricing | |
| Machine orchestration | ||
| Predictive model training on AWS, Azure, and Google Cloud Platform | ✓ | ✓ |
| Training data preprocessing | ✓ | ✓ |
| Batch predictions | ✓ | ✓ |
| Real-time Inference service deployment (Kubernetes) | ✓ | ✓ |
| Batch inference deployment | ✓ | ✓ |
| Private Azure/AWS/GCP cloud account | ✓ | |
| On-premises installation (e.g. Openstack) | ✓ | |
| Pipeline | ||
| Pipeline access | Web App, CLI, API | Web App, CLI, API |
| Custom pipeline steps | ✓ | ✓ |
| Unlimited training runs | ✓ | ✓ |
| On-premises pipeline installation | ✓ | ✓ |
| Third-party license to API | ✓ | |
| Version Control | ||
| Project limit | Unlimited | Unlimited |
| Run history (hardware, parameters, logs, etc.) | Unlimited | Unlimited |
| Hyperparameter optimization history | Unlimited | Unlimited |
| Result data history | Unlimited | Unlimited |
| Code | ||
| Hosted notebooks with version control | ✓ | ✓ |
| Run your code on massively scalable infrastructure | ✓ | ✓ |
| Real-time logs | ✓ | ✓ |
| Hardware metrics | ✓ | ✓ |
| Public Git repositories (GitHub, GitLab, BitBucket) | ✓ | ✓ |
| Private Git repositories (GitHub, GitLab, BitBucket) | ✓ | ✓ |
| Training data | ||
| High-security data transfer | ✓ | ✓ |
| Private data sources (AWS S3, Azure Blob Storage, Google Cloud Storage, etc.) | ✓ | ✓ |
| On-premises data sources (OpenStack Swift, Swiftstack, FTP, mount, etc.) | ✓ | |
| Data never leaves your cloud provider account, premises or data center | ✓ | |
| Organizations | ||
| Usage tracking | Individual, Team | Individual, Team |
| Organizations | 1 | Unlimited |
| Team access controls | ✓ | ✓ |
| Active Directory sign up | ✓ | ✓ |
| Two-factor authentication (2FA) | ✓ | ✓ |
| Single sign-on (SSO) | ✓ | |
| Support | ||
| Email support | ✓ | ✓ |
| Chat support | ✓ | ✓ |
| Phone support | ✓ | ✓ |
| Private Slack channel | ✓ | ✓ |
| Custom enterprise SLA | ✓ | ✓ |
| Monthly checkup calls | ✓ | ✓ |
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.