AI Infrastructure

Build and manage AI/ML platforms — GPU clusters, Kubernetes for ML, model serving, and MLOps pipelines.

📄️ Introduction to AI Infrastructure

Building robust infrastructure for AI workloads requires specialized knowledge across compute, storage, networking, and orchestration.

How to set up and manage GPU clusters for AI/ML workloads on Kubernetes using NVIDIA GPU Operator and cloud providers.

Deploy and serve ML models in production with Triton Inference Server, vLLM, and Kubernetes-native serving platforms.