40 sizes match
8+ vCPU, 16+ GiB, compute optimized, temp disk, Linux, priced in Germany West Central
Understood from your description: 8+ vCPU 16+ GiB Compute optimized (“build agents”) Linux Germany West Central temp disk
| Size | vCPU | Memory | Per month |
|---|---|---|---|
| Standard_F8 F | 8 | 16 GiB | $331.42 |
| Standard_F8s Fs | 8 | 16 GiB | $331.42 |
| Standard_F8alds_v7 Faldsv7 | 8 | 16 GiB | $505.16 |
| Standard_F16s_v2 Fsv2 · +8 vCPU, +16 GiB | 16 | 32 GiB | $566.48 |
| Standard_F8ads_v7 Fadsv7 · +16 GiB | 8 | 32 GiB | $605.90 |
| Standard_F16 F · +8 vCPU, +16 GiB | 16 | 32 GiB | $663.57 |
| Standard_F16s Fs · +8 vCPU, +16 GiB | 16 | 32 GiB | $663.57 |
| Standard_F8amds_v7 Famdsv7 · +48 GiB | 8 | 64 GiB | $769.42 |
| Standard_FX12mds FXmds · +4 vCPU, +236 GiB | 12 | 252 GiB | $985.50 |
| Standard_F16alds_v7 Faldsv7 · +8 vCPU, +16 GiB | 16 | 32 GiB | $1,009.59 |
| Standard_FX8mds_v2 FXmdsv2 · +152 GiB | 8 | 168 GiB | $1,118.36 |
| Standard_F32s_v2 Fsv2 · +24 vCPU, +48 GiB | 32 | 64 GiB | $1,132.96 |
| Standard_F16ads_v7 Fadsv7 · +8 vCPU, +48 GiB | 16 | 64 GiB | $1,211.07 |
| Standard_F16amds_v7 Famdsv7 · +8 vCPU, +112 GiB | 16 | 128 GiB | $1,539.57 |
| Standard_FX12mds_v2 FXmdsv2 · +4 vCPU, +236 GiB | 12 | 252 GiB | $1,677.54 |
| Standard_F48s_v2 Fsv2 · +40 vCPU, +80 GiB | 48 | 96 GiB | $1,699.44 |
| Standard_FX24mds FXmds · +16 vCPU, +488 GiB | 24 | 504 GiB | $1,971.00 |
| Standard_F32alds_v7 Faldsv7 · +24 vCPU, +48 GiB | 32 | 64 GiB | $2,019.18 |
| Standard_FX16mds_v2 FXmdsv2 · +8 vCPU, +320 GiB | 16 | 336 GiB | $2,237.45 |
Every VM size Azure lists with az vm list-skus in 24 regions, refreshed weekly: vCPU, memory, GPUs, temporary disk, Premium SSD and accelerated networking support.
USD pay-as-you-go list prices from the Azure Retail Prices API for Linux or Windows (license included). With no region selected, each size is priced in its cheapest region.
Lowest price lists the cheapest sizes that meet every requirement. Closest fit puts sizes with the least spare vCPU and memory first, then price.
Burstable B-series and confidential sizes appear only when you pick that workload. Constrained-vCPU sizes such as E8-2s_v5, used for per-core licensing, are not listed.
Start from the minimum vCPU and memory the workload needs, then pick the workload type and region. You can also describe it in plain English, for example "16 cores, 128 GB, SQL Server, West Europe", and the finder fills in the requirements. It lists every size that meets all of them, cheapest first, priced in your region or in each size's cheapest region.
Choose the AI / ML workload: it lists only NVIDIA GPU sizes (T4, A10, A100, H100, H200, RTX PRO 6000 and others), where CUDA, PyTorch and vLLM run. Small sizes such as Standard_NV6ads_A10_v5 get a slice of one GPU (1/6 of an A10, 4 GiB of GPU memory), enough for light inference. AMD Radeon sizes (V710, V620) are built for virtual desktops, graphics and cloud gaming and do not run CUDA.
Burstable sizes earn CPU credits while idle and slow down to a baseline when the credits run out, so they only appear when you choose the Burstable workload. They suit dev/test machines, small web sites and jump boxes, not steady production load.
They are Microsoft's public USD pay-as-you-go list prices from the Azure Retail Prices API, refreshed every Monday. Your bill can be lower with an enterprise agreement, reservations, savings plans or Azure Hybrid Benefit, and it also includes disks, bandwidth and other services that are not priced here.
No. Latency to your users, data residency rules and where the rest of your resources run usually matter more than a few dollars a month. Pick your region to compare sizes like for like, and use the size pages to see the price in every region.