1. Equinix Metal for Large-Scale AI Model Development Environments.


    Equinix Metal, known for its bare metal cloud services, provides high-performance, single-tenant, bare-metal servers, which can be very beneficial for large-scale AI model development environments. This can give you the computational power needed to train complex models with a lot of data.

    The Pulumi Equinix Metal provider allows you to provision and manage Equinix Metal infrastructure with code. In this program, we'll create a project in Equinix Metal and provision a bare-metal server (Device) to be used as a development environment for AI models.

    To provision such an environment, you need to:

    • Create a Project: A project is a logical grouping of resources in Equinix Metal, such as devices and volumes.
    • Provision a Device: A device in Equinix Metal refers to a physical server that you can use to deploy your applications.

    We'll choose a suitable device type for AI workloads which usually require a lot of CPU and GPU power. We'll also set up SSH access to the server by providing your public SSH key.

    Here's a Pulumi program that creates a new project and provisions a high-performance server:

    import pulumi import pulumi_equinix as equinix # Replace these variables with appropriate values project_name = "ai-model-development" hostname = "ai-server" plan = "c3.medium.x86" # Choose a server type that fits your needs operating_system = "ubuntu_18_04" # Use the operating system of your choice billing_cycle = "hourly" # You can choose between hourly and monthly billing metro = "sv" # Specify the metro location for your server # Your SSH public key, used to access the server ssh_public_key = "your-public-ssh-key" # Initialize a new Equinix Metal project for organizing all your resources project = equinix.metal.Project("ai_model_project", name=project_name) # Provision a device (server) within the project server = equinix.metal.Device("ai_model_server", hostname=hostname, plan=plan, operating_system=operating_system, billing_cycle=billing_cycle, project_id=project.id, metro=metro, user_ssh_key_ids=[ssh_public_key]) # Export the IP address and access credentials of the server pulumi.export('server_ip', server.access_public_ipv4) pulumi.export('root_password', server.root_password)

    This is a simple example. Depending on your specific needs, you may want to further configure the server’s storage, network, and tagging options, or even deploy a cluster of such servers.

    The equinix.metal.Device resource is used to create a physical server. We specify various properties like hostname, plan, operating_system, billing_cycle, project id, and metro location. The user_ssh_key_ids is where you can provide the SSH keys that will be used to access this server.

    Once the server is provisioned, we export the server's public IP address (server.access_public_ipv4) and root password (server.root_password). These will be used to access the server over SSH for management tasks and to deploy AI development tools like TensorFlow or PyTorch.

    Note: In a production environment, you should handle secrets, such as SSH keys and passwords, securely, using a secret management system. The root_password is output for demonstration purposes only.

    To use this program:

    1. Install Pulumi and configure it for use with Equinix Metal.
    2. Create a new Pulumi project, and use the provided code as your __main__.py.
    3. Replace placeholder values with your specific information—especially the ssh_public_key and project_name.
    4. Run pulumi up to provision the resources.

    Remember that this code will incur costs in your Equinix Metal account according to the plan and billing cycle you choose; make sure to de-provision the resources using pulumi destroy when they're no longer needed to avoid unnecessary charges.