Standard_NV24s_v3


Azure Virtual Machine: NV24s_v3 / NV24s v3 with 24 vCPUs and 224 GiB of memory. Available in 21 regions starting from $1,664.40 per month. A -32.61% cheaper alternative is available.
NameStandard_NV24s_v3
DetailsStandard is recommended tier
N – GPU enabled
V – Remote visualisation workloads and other graphics-intensive applications
24 – The number of vCPUs
s – Premium Storage capable
v3 – version
vCPUs24
CPU Architecturex64
Memory (GiB)224
Hyper-V GenerationsV1,V2
ACUs0
GPUs2
GPU NameNVIDIA Tesla M60 (16GB)
GPU RAM (GiB)16
GPU Total RAM (GiB)32
Max Network Interfaces8
RDMA Enabledno
Accelerated Netyes
OS Disk Size1023 GiB
Res Disk Size1474 GiB
Max Disks24
Support Premium Diskyes
Combined IOPS is a sum of all attached disk's IOPs48000
Uncached Disk IOPS40000
Combined Write is a sum of all attached disk's write throughtput500 MiB/Sec
Combined Read is a sum of all attached disk's read throughtput500 MiB/Sec

Regional Prices

US Dollar ($)
Per Hour
Standard
Pay-as-you-go
Region Name
Region ID
Linux Price
Windows Price
East USeastus2.28003.3840
East US 2eastus22.28003.3840
hidden-1hidden-12.28003.3840
West USwestus2.28003.3840
hidden-2hidden-22.42003.5240
hidden-3hidden-32.73603.8400
hidden-4hidden-42.78203.8860
hidden-5hidden-52.85003.9540
hidden-6hidden-62.85003.9540
hidden-7hidden-72.85003.9540
hidden-8hidden-82.85003.9540
hidden-9hidden-92.85003.9540
hidden-10hidden-102.92104.0250
hidden-11hidden-113.13504.2390
hidden-12hidden-123.13504.2390
hidden-13hidden-133.16004.2640
hidden-14hidden-143.17904.2830
hidden-15hidden-153.18004.2840
hidden-16hidden-163.19204.2960
hidden-17hidden-173.87604.9800
hidden-18hidden-184.07605.1800
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Best AI models you can run on this instance

Top open-weight chat models ranked by Intelligence Index that fit in Standard_NV24s_v3's 32 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 9BAlibaba logoAlibaba25.0#1449B22 GB
Gemma 4 12BGoogle logoGoogle22.0#17112B29 GB
Qwen3.5 4BAlibaba logoAlibaba20.1#1904B10 GB
7 more models fit on Standard_NV24s_v3
Unlock the full ranked list and FP8 / INT4 quantization with a CloudPrice subscription.

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