Standard_NV72ads_A10_v5
Azure Virtual Machine: NV72ads_A10_v5 / NV72ads A10_v5 with 72 vCPUs and 880 GiB of memory. Available in 37 regions starting from $4,759.60 per month. A -30.67% cheaper alternative is available.
| Standard_NV72ads_A10_v5 |
| Standard is recommended tier N – GPU enabled V – Remote visualisation workloads and other graphics-intensive applications 72 – The number of vCPUs A10 – Accelerator Type a – AMD-based processor d – Diskfull (local temp disk is present) s – Premium Storage capable v5 – version |
| 72 |
| x64 |
| 880 |
| V1,V2 |
| 0 |
| 2 |
| NVIDIA A10 (24GB) |
| 24 |
| 48 |
| 8 |
| no |
| yes |
| 1023 GiB |
| 2880 GiB |
| 32 |
| yes |
| 300000 |
| 80000 |
| 3815 MiB/Sec |
| 3815 MiB/Sec |
Regional Prices
Region Name | Region ID | Linux Price | Windows Price |
|---|---|---|---|
| East US | eastus | 6.5200 | 9.8320 |
| East US 2 | eastus2 | 6.5200 | 9.8320 |
| hidden-1 | hidden-1 | 6.5200 | 9.8320 |
| West US 2 | westus2 | 6.5200 | 9.8320 |
| hidden-2 | hidden-2 | 7.1960 | 10.5080 |
| hidden-3 | hidden-3 | 7.6280 | 10.9400 |
| hidden-4 | hidden-4 | 7.8240 | 11.1360 |
| hidden-5 | hidden-5 | 7.8240 | 11.1360 |
| hidden-6 | hidden-6 | 7.8240 | 11.1360 |
| hidden-7 | hidden-7 | 7.8240 | 11.1360 |
| hidden-8 | hidden-8 | 7.9870 | 11.2990 |
| hidden-9 | hidden-9 | 8.0200 | 11.3320 |
| hidden-10 | hidden-10 | 8.1500 | 11.4620 |
| hidden-11 | hidden-11 | 8.1500 | 11.4620 |
| hidden-12 | hidden-12 | 8.1500 | 11.4620 |
| hidden-13 | hidden-13 | 8.1500 | 11.4620 |
| hidden-14 | hidden-14 | 8.1500 | 11.4620 |
| hidden-15 | hidden-15 | 8.4760 | 11.7880 |
| hidden-16 | hidden-16 | 8.4760 | 11.7880 |
| hidden-17 | hidden-17 | 8.4760 | 11.7880 |
| hidden-18 | hidden-18 | 8.4760 | 11.7880 |
| hidden-19 | hidden-19 | 8.4760 | 11.7880 |
| hidden-20 | hidden-20 | 8.4760 | 11.7880 |
| hidden-21 | hidden-21 | 8.4760 | 11.7880 |
| hidden-22 | hidden-22 | 8.4760 | 11.7880 |
| hidden-23 | hidden-23 | 8.8020 | 12.1140 |
| hidden-24 | hidden-24 | 9.1280 | 12.4400 |
| hidden-25 | hidden-25 | 9.1280 | 12.4400 |
| hidden-26 | hidden-26 | 9.3240 | 12.6360 |
| hidden-27 | hidden-27 | 9.3240 | 12.6360 |
| hidden-28 | hidden-28 | 9.3240 | 12.6360 |
| hidden-29 | hidden-29 | 9.3240 | 12.6360 |
| hidden-30 | hidden-30 | 9.4540 | 12.7660 |
| hidden-31 | hidden-31 | 9.4540 | 12.7660 |
| hidden-32 | hidden-32 | 9.5190 | 12.8310 |
| hidden-33 | hidden-33 | 10.1060 | 13.4180 |
| hidden-34 | hidden-34 | 13.0400 | 16.3520 |
Best AI models you can run on this instance
Top open-weight chat models ranked by Intelligence Index that fit in Standard_NV72ads_A10_v5's 48 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 | |
|---|---|---|---|---|---|---|
| Qwen3.5 9B |  Alibaba | 32.4#146 | 9B | — | 22 GB | |
| Gemma 4 12B |  Google | 29.2#173 | 12B | — | 29 GB | |
| Apriel V1.5 15B Thinker | Servicenow | 28.3#181 | 15B | — | 36 GB | |
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