Machine learning and DevSecOps: Inside the OctoML/GitLab integration

What this post added

This post details the integration of OctoML CLI into GitLab CI/CD pipelines for machine learning model optimization and deployment. It describes the four pipeline stages (setup, package, deploy, test) and how OctoML CLI accelerates models for various cloud hardware targets, deploying them to registries and managed Kubernetes services. The post also highlights the use of `octoml.yaml` for model configuration and provides example repositories for NLP and Vision models.