Lilly Tech Systems
Ansible for AI Servers
Automate GPU server provisioning, NVIDIA driver and CUDA toolkit installation, monitoring setup, and fleet management for on-premises and cloud AI infrastructure using Ansible playbooks and roles.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Why Ansible for AI infrastructure, agentless architecture, and how it complements Terraform and Kubernetes.
2. GPU Setup
Automate bare-metal and cloud GPU server provisioning with OS configuration, users, and security hardening.
3. CUDA & Drivers
Install and manage NVIDIA drivers, CUDA toolkit, cuDNN, and container runtime across GPU fleets.
4. Monitoring
Deploy GPU monitoring with DCGM, Prometheus, Grafana, and alerting for temperature, utilization, and errors.
5. Playbooks
Build production playbooks with roles, variables, inventories, and idempotent task design for GPU fleets.
6. Best Practices
Production patterns for fleet management, rolling updates, secrets, testing, and CI/CD integration.
What You'll Learn
By the end of this course, you'll be able to:
Automate GPU Setup
Configure bare-metal and cloud GPU servers from scratch with automated OS, driver, and toolkit installation.
Manage Driver Lifecycle
Install, upgrade, and rollback NVIDIA drivers and CUDA toolkit across fleets without downtime.
Deploy Monitoring
Set up comprehensive GPU monitoring, alerting, and dashboards for proactive fleet management.
Fleet Management
Manage hundreds of GPU servers with reusable roles, dynamic inventories, and rolling update strategies.