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Reference Templates for AI & Generative AI

Pre-validated, ready-to-use design and reference implementations (i.e. working code) that you can use to implement common use cases using the Rafay platform. These reference designs enables platform teams to quickly build and provide self service automation for AI and Generative AI use cases targeted at data scientists, developers and application teams.

  • Gen AI on Amazon ECS

    Ephemeral environments for containerized Gen AI applications running on Amazon ECS with Amazon Bedrock for access to foundational models.

    Docs Git Video

  • Gen AI on Amazon EKS

    Ephemeral environments for containerized Gen AI applications running on Amazon EKS with Amazon Bedrock for access to foundational models.

    Docs Git Video

  • JupyterHub

    Self-Service JupyterHub based data science environments with support for a large number of kernels and serve Jupyter Notebooks, Jupyter Labs, RStudio, nteract etc.

    Docs Git Video

  • Kubeflow on Amazon EKS

    Complete MLOps lifecycle from concept to production with automated AI/ML model training pipelines using Kubeflow on Amazon EKS clusters.

    Docs Git