NVV4 family · Accelerator Optimizedx86_64 · Intel/AMD

NV32as v4

The Azure NV32as v4 (Standard_NV32as_v4) is a virtual machine from the NVv4 series, with 32 vCPUs, 112 GB of RAM and 700 GB of temporary storage. On-demand pricing starts at $1.8640/hour in East US.

Updated September 3, 2026
vCPUs
32
Memory
112 GB
Network
Up to 16–32 Gbps
Storage
700 GB Temp SSD

Save up to $1109/mo on every NV32as v4

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Pricing Overview

The Azure NV32as v4 costs $1.86/hour ($1360.72/month) for Linux and $3.34/hour ($2435.28/month) for Windows in East US, as of 3 September 2026.

All pricing options

East US · USD · Linux OS · monthly = 730 hrs
Prices exclude local taxes
Term / TierHourlyMonthlySavings
Standard Tier — On-Demand
$1.8640$1360.72 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.3445$251.46 -82%
You could save $1109.26/mo on this instance with the right pricing model.
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Monthly cost estimator

Estimate your spend based on actual usage.
730 h
1h365h730h (24/7)
1
Estimated monthly
$1360.72
730 hrs × $1.8640/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i32
Memory i112 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within NVV4 family
NV4as v4
4 vCPU
NV8as v4
8 vCPU
NV16as v4
16 vCPU
NV32as v4
32 vCPU

Lock in this rate across your fleet — typically save 30–40%

Connect your Azure account to apply this pricing logic to every running instance automatically.

Networking

Max egress bandwidth16–32 Gbps
Tier 1 bandwidthN/A
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks64
Max disk size32 TB
Local SSDsSupported (Scratch Disk)

Compare with another instance

vs.
SpecNV32as v4NV4as v4Δ
vCPUs324-87%
Memory112 GB14 GB-87%
Hourly Price$1.8640$0.2330-87%
Monthly Price$1360.72$170.09-88%
Cost optimization

Azure recommender alerts can cut this bill ~30-40%.

Connect your Azure account. We'll identify every underutilized NVv4.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.