DDSV4 family · General Purposex86_64 · Intel/AMD

D32ds v4

The Azure D32ds v4 (Standard_D32ds_v4) is a virtual machine from the Ddsv4 series, with 32 vCPUs, 128 GB of RAM and 1200 GB of temporary storage. On-demand pricing starts at $1.8080/hour in East US.

Updated September 3, 2026
vCPUs
32
Memory
128 GB
Network
Up to 16–32 Gbps
Storage
1200 GB Temp SSD

Save up to $1042/mo on every D32ds v4

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Pricing Overview

The Azure D32ds v4 costs $1.81/hour ($1319.84/month) for Linux and $3.28/hour ($2394.40/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
$1.8080$1319.84 Baseline
1-Year Reserved Instance
$1.0631$776.08 -41%
3-Year Reserved Instance
$0.6798$496.25 -62%
Spot Instance
$0.3809$278.09 -79%
You could save $1041.75/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
$1319.84
730 hrs × $1.8080/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i32
Memory i128 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within DDSV4 family
D2ds v4
2 vCPU
D4ds v4
4 vCPU
D8ds v4
8 vCPU
D16ds v4
16 vCPU
D32ds v4
32 vCPU
D48ds v4
48 vCPU
D64ds v4
64 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.
SpecD32ds v4D2ds v4Δ
vCPUs322-94%
Memory128 GB8 GB-94%
Hourly Price$1.8080$0.1130-94%
Monthly Price$1319.84$82.49-94%
Cost optimization

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

Connect your Azure account. We'll identify every underutilized Ddsv4.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.