The Enterprise AI platform
built to scale.
built to scale.
Build, evaluate, and deploy high-quality AI models and applications on a single platform, while seamlessly maintaining your enterprise security standards.
Individual
What’s included?
- Unlimited public repositories with unlimited collaborators
- Unlimited private repositories for non-commercial use
- Unlimited experiment tracking for public repositories
- Up to 100 tracked experiments in private repositories
- Up to 2 collaborators in private projects
- 20GB of DagsHub Storage
- Data versioning and lineage
- Annotations workspace for public repositories
- Notebook versioning & diffing
- CI/CD/CT integration
- Interactive pipelines
- Community support
Team
What’s included?
Everything in Individual, plus:
- Unlimited private repositories
- Multimodal annotation and auto-labeling
- Connect your own storage
- Label Studio compatible
- Team RBAC
- DagsHub priority support
- Up to 50GB of data
- Up to 1TB of data or up to 2 million files
Enterprise
What’s included?
Everything in Team, plus:
- Petabyte-scale data management
- Deploy models to your cluster
- Full VPC/Air-gapped on-premise installation
- SSO/LDAP/OIDC RBAC
- OpenShift compatible
- Organizational resource control
- Enterprise SLA & support
Build AI applications on your own infrastructure
Install DagsHub anywhere: on-prem, VPC, airgapped, and OpenShift environments. Tailor the installation to fit the unique needs of your enterprise infrastructure.
Advanced security and compliance
Ensure your data is secure and your operations are compliant with DagsHub’s adherence to ISO 27001 and ISO 9001 standards, along with support for custom OIDC and LDAP authentication for SSO.
Eliminate DevOps bottlenecks and accelerate your workflow
Use a zero DevOps MLOps platform and efficiently manage your data science projects.
Easily share and collaborate on data and models
Don’t repeat work. Simplify the process of sharing and collaborating on data and models with built-in support for popular tools, creating an organizational hub for your models and datasets.
Since we started using DagsHub, we have been able to significantly reduce the time it takes to run experiments and manage models.
We’ve been using DagsHub for a long time to accelerate our experimentation and enhance our data management, and we can’t imagine working on ML projects without it.
DagsHub is designed perfectly for collaborative data science and allows you to share data and models easily with your team. Once you do one project you’ll have a hard time using anything else.
DagsHub has revolutionized our ability to manage and label data, allowing us to innovate and move quickly.
