Resource Types & VM Sizes
Resource Types
Workstations
| Type | Description | Best For |
|---|---|---|
| Standard | General-purpose VMs | Development, light analysis |
| GPU-enabled | VMs with GPU acceleration | Machine learning, visualization |
| High Memory | VMs with large RAM | Data-intensive analysis |
HPC Clusters
| Type | Description | Best For |
|---|---|---|
| Standard Cluster | CPU-based compute nodes | Simulations, batch jobs |
| GPU Cluster | GPU-accelerated nodes | Deep learning, rendering |
Storage
| Type | Description | Best For |
|---|---|---|
| Blob Storage | Object storage | Large datasets, backups |
| File Storage | Shared file systems | Collaboration, shared data |
Common Azure VM Sizes
| Series | vCPUs | Memory | Best For |
|---|---|---|---|
| D-series (General Purpose) | 2-64 | 8-256 GB | Development, standard analysis |
| E-series (Memory Optimized) | 2-64 | 16-432 GB | Large datasets, in-memory processing |
| F-series (Compute Optimized) | 2-72 | 4-144 GB | CPU-intensive simulations |
| N-series (GPU) | 6-24 | 56-448 GB | ML training, visualization |
| HB-series (HPC) | 120 | 456 GB | High-performance computing |
Tip
Start with a smaller VM size and resize if needed. You can change the size of a stopped workstation at any time.