MLOps made simple
Discover how Titan is helping Data teams to easily train, deploy and scale their models.
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Services
Transform your models into ready-to-use, scalable REST APIs with just one command. Get to production 10x faster.
$ titan deploy
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Jobs
Run arbitrary workloads in the Cloud to speed up the training of your models or any other computationally costly tasks.
$ titan jobs
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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 Now![Image placeholder](/img/terminal.gif)
Get to know TITAN
Titan offers a simple and minimalistic approach to deal with the complexity of putting ML models in production.
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Titan comes with a built-in Jupyter Notebook integration to get things up and running straight from your Notebooks
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Easily expose and scale models through REST APIs
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Interact with Titan through our CLI or through the Web Dashboard
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Use Titan in the cloud of your choice, public or on-prem
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Titan automatically tags models and datasets to manage your ML projects
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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:
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