🔹 Feature: Fully Managed GPU Node Pool on Azure Kubernetes Service (AKS)
🔹 What It Does: Enables you to create GPU-enabled node pools in AKS where Azure automatically installs and manages NVIDIA GPU drivers, device plugins, and monitoring components, simplifying deployment of AI, ML, and high-performance workloads on Kubernetes.
💡 AKS GPU nodes in Azure Local avaible also.
What It’s Giving You:
✅ One-Step GPU Infrastructure: Create GPU-enabled node pools without manually installing drivers, plugins, or telemetry components.
✅ Fully Managed NVIDIA Stack: AKS automatically installs the NVIDIA GPU driver, Kubernetes device plugin, and DCGM metrics exporter for GPU monitoring.
✅ Simplified Operations: Eliminates the need to maintain custom images, scripts, or DaemonSets for GPU configuration.
✅ Built-in GPU Monitoring: GPU utilization, memory usage, and performance metrics are automatically exposed for observability and optimization.
✅ Autoscaling GPU Workloads: Combine GPU node pools with Cluster Autoscaler or KEDA to dynamically scale expensive GPU resources based on demand.
✅ Optimized for AI & ML: Perfect for model training, inference workloads, deep learning, and high-performance computing scenarios.
✅ Consistent and Secure Runtime: Standardized node images ensure compatibility with Kubernetes upgrades and reduce operational complexity.
🌐 https://learn.microsoft.com/en-us/azure/aks/aks-managed-gpu-nodes?tabs=add-ubuntu-gpu-node-pool
