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Compute Model¶

Azure offers diverse VM sizes optimized for different workloads, from general-purpose computing to high-performance GPUs.

VM Size Families¶

Azure categorizes VM sizes to help you select the best performance/cost ratio for your specific use case.

Family	Series	Use Cases	Memory : vCPU Ratio
General Purpose	B, Dsv7/Dasv7, Dsv6/Dasv6, Dv5	Testing, small/medium databases, web servers	Balanced
Compute Optimized	F, Fsv2	Batch processing, analytics, gaming	High vCPU
Memory Optimized	Esv7/Easv7, Esv6/Easv6, Ev5, M	Relational databases, in-memory caches	High Memory
Storage Optimized	Lsv2, Lsv3	NoSQL, Big Data, large data warehousing	High Disk I/O
GPU	N	Video editing, rendering, AI training	GPU/High Compute

Naming Convention¶

graph TD
    S[Standard] --- F[Family: D]
    F --- v[vCPUs: 4]
    v --- A[Add-ons: s]
    A --- V[Version: v5]

    style S stroke:#333,stroke-width:2px
    style F fill:#f9f,stroke:#333,stroke-width:2px
    style v fill:#bbf,stroke:#333,stroke-width:2px
    style A fill:#bfb,stroke:#333,stroke-width:2px
    style V fill:#fbb,stroke:#333,stroke-width:2px

Azure Compute Unit (ACU)¶

The ACU concept provides a way to compare compute (CPU) performance across different Azure VM families.

Note

Standard_A1 is the baseline (ACU = 100). Higher ACUs indicate greater performance per vCPU.

See Also¶

Sources¶