Showing 2 open source projects for "machine learning workloads"

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    Paessler - Monitor Your Whole Network in Minutes

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    Deployer

    Deployer

    Deployment tool with support for popular frameworks out of the box

    A deployment tool written in PHP with support for popular frameworks out of the box. Deployer is a cli tool for deployment of any PHP applications, including frameworks such as Laravel, Symfony, Zend Framework and many more. Main concept of Deployer is recipe, a php file containing tasks definitions. Recipe can require other recipes and extend/ override functionality. Also Deployer comes with bunch of ready to use recipes from community for Slack, etc. Deployer can be easily installed via...
    Downloads: 0 This Week
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    Ampernetacle

    Ampernetacle

    This is a Terraform configuration to deploy a Kubernetes cluster

    ...Cloud-init installs the required software, while kubeadm initializes the control plane and joins the remaining machines as workers. The setup automatically generates SSH credentials, networking resources, and a kubeconfig file for cluster access. Users can change node count, machine size, or architecture through Terraform variables. It is intended for learning, testing, and ARM development rather than production workloads, and it omits components such as an ingress controller and storage class.
    Downloads: 0 This Week
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