MLOps made simple
Discover how Titan is helping Data teams to easily train, deploy and scale their models.
Services
Transform your models into ready-to-use, scalable REST APIs with just one command. Get to production 10x faster.
$ titan deploy
Jobs
Run arbitrary workloads in the Cloud to speed up the training of your models or any other computationally costly tasks.
$ titan jobs
CI/CD Integration
Seamlessly integrate Titan Services and Jobs into the CI/CD tool of your choice to create your own ML production-ready pipelines
GitlabCI, GH Actions, Jenkins...
Simplicity. Minimalism. Robustness.
MLOps has never been more accesible to Data Teams. No DevOps. No hassle.
Start NowGet to know TITAN
Titan offers a simple and minimalistic approach to deal with the complexity of putting ML models in production.
Titan comes with a built-in Jupyter Notebook integration to get things up and running straight from your Notebooks
Easily expose and scale models through REST APIs
Interact with Titan through our CLI or through the Web Dashboard
Use Titan in the cloud of your choice, public or on-prem
Titan automatically tags models and datasets to manage your ML projects
Simple hardware provision through YAML spec
Get started with TITAN
To start using Titan you can take a look at our documentation or go through our step-by-step tutorials:
4 min read | Download the code | |
6 min read | Download the code | |
5 min read | ||
4 min read | Download the code | |
4 min read | ||
6 min read | Download the code | |
5 min read | Download the code | |
5 min read | Download the code | |
9 min read | Download the code | |
6 min read | Download the code | |
6 min read | Download the code |