Standard_NC32ads_A10_v4
Azure Virtual Machine: NC32ads_A10_v4 / NC32ads A10_v4 with 32 vCPUs and 400 GiB of memory. Available in 3 regions starting from $3,212.00 per month.
| Standard_NC32ads_A10_v4 |
| Standard is recommended tier N – GPU enabled C – High-performance computing and machine learning workloads 32 – The number of vCPUs A10 – Accelerator Type a – AMD-based processor d – Diskfull (local temp disk is present) s – Premium Storage capable v4 – version |
| 32 |
| x64 |
| 400 |
| V1,V2 |
| 0 |
| 2 |
| NVIDIA A10 |
| 24 |
| 96 |
| 8 |
| no |
| yes |
| 1023 GiB |
| 2880 GiB |
| 32 |
| yes |
| 150000 |
| 51200 |
| 1907 MiB/Sec |
| 1907 MiB/Sec |
Regional Prices
Region Name | Region ID | Linux Price | Windows Price |
|---|---|---|---|
| West US 3 | westus3 | 4.4000 | 5.8720 |
| South Central US | southcentralus | 5.2800 | 6.7520 |
| West Europe | westeurope | 5.7200 | 7.1920 |
Best AI models you can run on this instance
Top open-weight chat models ranked by Intelligence Index that fit in Standard_NC32ads_A10_v4's 96 GB of GPU memory, assuming the model is sharded across all 2 GPUs. VRAM is estimated from the parameter count at the selected quantization, so treat it as guidance rather than a guarantee.
Chat Models
FP16 (full precision)
Model | Creator | Intelligence | Total params | Active params | ~VRAM | |
|---|---|---|---|---|---|---|
| Qwen3.6 27B | 37.1#70 | 27B | — | 65 GB | ||
| Qwen3.5 27B | 33.8#94 | 27B | — | 65 GB | ||
| Qwen3.6 35B A3B | 31.6#113 | 35B | 3B | 84 GB | ||
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