For Community use — a single platform to build deep learning models on

  • AI made by you

    Create AI models on your own. You don't need a whole data science team to backup.

  • Performance

    50 GPU hours and 50 GB storage included. Made for up to 2 users.

  • The road to AI

    For you in tech. If you have AI superpowers great! But if not, this is built to help you.

01/ For Community use

The Community package has full platform functionality and allows you to create your own deep learning AI models, based on your data.

In the Peltarion Platform you can create, evaluate, tweak and deploy deep learning models.

It’s a fast and simple route to building and deploying deep learning models using a visual development environment.

By evaluating, training and tweaking the model, you can move ahead to production and use the result in real life.

Need help along the way? You’ll have access to documentation, tutorials, webinars and community events. Initial usage is free, with further compute or usage charged at cost.

02/ What's good about the platform?

  • It's fast

    A fast track through the full development cycle, from data to deployment, all on one web-based platform

  • Everything in one place

    The integrated and intuitive visual development environment requires no coding — use prebuilt snippets or build from scratch

  • Easy to deploy

    Deploy optimal models right from the platform, with experiment and data versions that are auditable

  • Free to start

    Costs you nothing to get going, with further compute or storage charged at cost. Contact us directly to discuss packages to suit enterprise requirements

03/ Platform overview

  • Projects
    Projects

    Projects view allows you to create a new project, select, edit or delete an existing project.

  • Datasets view of the Peltarion Platforum UI
    Datasets

    Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

  • Modeling
    Modeling

    The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

  • Evaluation
    Evaluation

    In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

  • Deployment
    Deployment

    When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

  • Projects

    Projects view allows you to create a new project, select, edit or delete an existing project.

  • Datasets

    Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

  • Modeling

    The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

  • Evaluation

    In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

  • Deployment

    When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

Projects view allows you to create a new project, select, edit or delete an existing project.

Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

04/ Tutorials