Install Run:ai and Slurm — Installation and Deployment (NVIDIA-Certified Professional: AI Operations)

Installing Run:ai and Slurm

As part of the NVIDIA-Certified Professional: AI Operations certification, understanding how to install and configure Run:ai and Slurm is crucial. This section will focus on the step-by-step process of installation, ensuring that you can effectively manage AI workloads in your NVIDIA infrastructure.

Overview of Run:ai and Slurm

Run:ai is a platform that simplifies the management of AI workloads on Kubernetes, while Slurm is a highly configurable open-source job scheduler for Linux clusters. Together, they enhance resource utilization and streamline job scheduling for AI applications.

Step-by-Step Installation

1. Prepare Your Environment: Ensure that your NVIDIA hosts are ready for the installation. This includes having Kubernetes installed and configured on your cluster.
2. Install Run:ai: Follow these steps to install Run:ai:

Example Installation Steps for Run:ai

1. Add the Run:ai Helm repository:

helm repo add runai https://run.ai/helm

2. Update your Helm repositories:

helm repo update

3. Install Run:ai:

helm install runai runai/runai

1. Install Slurm: To install Slurm, you can use the following commands:

Example Installation Steps for Slurm

1. Install Slurm using the package manager:

sudo apt-get install slurm-wlm

2. Configure Slurm: Edit the Slurm configuration file to set up the nodes and partitions as per your requirements.

1. Verify the Installation: After installation, verify that both Run:ai and Slurm are running correctly. You can check the status of the services using:

kubectl get pods -n runai

and

scontrol show nodes

Conclusion

Installing Run:ai and Slurm is a vital skill for managing AI operations effectively. Mastering these tools will not only prepare you for the NVIDIA-Certified Professional: AI Operations exam but also enhance your ability to optimize AI workloads in a production environment.

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