Provisioning servers for AI workloads involves a complex stack of NVIDIA drivers, CUDA toolkits, container runtimes, and inference frameworks that must be precisely versioned and configured. Combining HashiCorp Packer for golden image creation with Ansible for configuration management creates a repeatable, auditable provisioning pipeline.
Building AI-Ready Golden Images
Packer templates define the base operating system, NVIDIA driver version, CUDA toolkit, cuDNN libraries, and container runtime in a declarative format. By baking these dependencies into machine images, new GPU servers boot ready to accept workloads in minutes rather than hours, eliminating configuration drift between machines.
Ansible playbooks handle the dynamic configuration layer: registering with monitoring systems, joining Kubernetes clusters, configuring GPU sharing policies, and applying security baselines. Ansible's idempotent execution model ensures that running the same playbook multiple times produces identical results, critical for maintaining fleet consistency.
Integrating Packer and Ansible with CI/CD pipelines enables automated image rebuilds when new driver versions or security patches are released. Automated testing with InSpec or Goss validates that images meet operational requirements before promotion to production, preventing broken images from reaching GPU servers.