Standard_NC24ads_A100_v4
Azure Virtual Machine: NC24ads_A100_v4 / NC24ads A100_v4 with 24 vCPUs and 220 GiB of memory. Available in 26 regions starting from $2,681.29 per month. A -58.17% cheaper alternative is available.
| Standard_NC24ads_A100_v4 |
| Standard is recommended tier N – GPU enabled C – High-performance computing and machine learning workloads 24 – The number of vCPUs A100 – NVIDIA Ampere A100 Accelerator a – AMD-based processor d – Diskfull (local temp disk is present) s – Premium Storage capable v4 – version |
| 24 |
| x64 |
| 220 |
| V2 |
| 0 |
| 1 |
| NVIDIA A100 |
| 80 |
| 80 |
| 2 |
| no |
| yes |
| 1023 GiB |
| 64 GiB |
| 8 |
| yes |
| 32000 |
| 30000 |
| 244 MiB/Sec |
| 244 MiB/Sec |
Regional Prices
Region Name | Region ID | Linux Price | Windows Price |
|---|---|---|---|
| East US | eastus | 3.6730 | 4.7770 |
| East US 2 | eastus2 | 3.6730 | 4.7770 |
| hidden-1 | hidden-1 | 3.6730 | 4.7770 |
| West US 2 | westus2 | 3.6730 | 4.7770 |
| hidden-2 | hidden-2 | 4.1500 | 5.2540 |
| hidden-3 | hidden-3 | 4.4080 | 5.5120 |
| hidden-4 | hidden-4 | 4.4080 | 5.5120 |
| hidden-5 | hidden-5 | 4.4080 | 5.5120 |
| hidden-6 | hidden-6 | 4.4080 | 5.5120 |
| hidden-7 | hidden-7 | 4.5910 | 5.6950 |
| hidden-8 | hidden-8 | 4.5910 | 5.6950 |
| hidden-10 | hidden-10 | 4.7750 | 5.8790 |
| hidden-11 | hidden-11 | 4.7750 | 5.8790 |
| hidden-12 | hidden-12 | 4.7750 | 5.8790 |
| hidden-13 | hidden-13 | 4.7750 | 5.8790 |
| hidden-14 | hidden-14 | 4.7750 | 5.8790 |
| hidden-15 | hidden-15 | 4.7750 | 5.8790 |
| hidden-16 | hidden-16 | 4.7750 | 5.8790 |
| hidden-9 | hidden-9 | 4.7750 | 5.8790 |
| hidden-17 | hidden-17 | 4.9590 | 6.0630 |
| hidden-18 | hidden-18 | 5.1420 | 6.2460 |
| hidden-19 | hidden-19 | 5.1420 | 6.2460 |
| hidden-20 | hidden-20 | 5.2520 | 6.3560 |
| hidden-21 | hidden-21 | 5.3260 | 6.4300 |
| hidden-22 | hidden-22 | 5.3260 | 6.4300 |
| hidden-23 | hidden-23 | 7.3460 | 8.4500 |
Best AI models you can run on this instance
Top open-weight chat models ranked by Intelligence Index that fit in Standard_NC24ads_A100_v4's 80 GB of GPU memory. 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 |  Alibaba | 37.1#51 | 27B | — | 65 GB | |
| Qwen3.5 27B | Alibaba | 33.8#72 | 27B | — | 65 GB | |
| Gemma 4 31B |  Google | 29.4#109 | 31B | — | 74 GB | |
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