What problem does it solve?
Managing cloud infrastructure often requires selecting the right virtual machines; this skill simplifies that process by providing tailored recommendations.
Core Features & Use Cases
- Workload-Based VM Selection: Advises on suitable VM sizes and families for web hosting, databases, machine learning, or high-performance computing.
- Scaling and Configuration Guidance: Offers insights into VM scale sets (VMSS), autoscaling, high availability, and orchestration modes.
- Comparison and Cost Estimation: Enables users to compare VM options and estimate costs using the Retail Prices API without requiring an Azure account.
- Use Case: Assume a user wants to deploy a machine learning training environment; this skill will recommend GPU-enabled VMs, suggest VMSS if needed, and provide cost estimates to help budget planning.
Quick Start
Ask the AI to recommend the best Azure VM sizes for a web application requiring 8 vCPUs, 32GB RAM, and GPU support.