Using Terraform to manage complex AI infrastructure on AWS

Building production AI systems requires coordinating multiple AWS services like SageMaker, Bedrock, and OpenSearch, which is complex to set up manually. HashiCorp Terraform addresses this by allowing infrastructure to be defined as code using declarative configuration files. This approach enables consistent provisioning of GPU compute, data pipelines, model endpoints, and security controls across environments. Terraform manages the underlying infrastructure but does not perform AI tasks like model training itself. The tool helps maintain consistency between development, testing, and production setups while controlling costs.