DPLDSV5 family · General Purposearm64 · Ampere/ARM

D16plds v5

The Azure D16plds v5 (Standard_D16plds_v5) is a virtual machine from the Dpldsv5 series, with 16 vCPUs, 32 GB of RAM and 600 GB of temporary storage. On-demand pricing starts at $0.6140/hour in East US.

Updated September 3, 2026
vCPUs
16
Memory
32 GB
Network
Up to 8–16 Gbps
Storage
600 GB Temp SSD

Save up to $353/mo on every D16plds v5

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Pricing Overview

The Azure D16plds v5 costs $0.6140/hour ($448.22/month) for Linux 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
$0.6140$448.22 Baseline
1-Year Reserved Instance
$0.3624$264.58 -41%
3-Year Reserved Instance
$0.2335$170.44 -62%
Spot Instance
$0.1298$94.75 -79%
You could save $353.47/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
$448.22
730 hrs × $0.6140/hr × 1

Compute

arm64 · Ampere Altra
vCPUs i16
Memory i32 GB
Physical processorAmpere® Altra® ARM Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within DPLDSV5 family
D2plds v5
2 vCPU
D4plds v5
4 vCPU
D8plds v5
8 vCPU
D16plds v5
16 vCPU
D32plds v5
32 vCPU
D48plds v5
48 vCPU
D64plds v5
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 bandwidth8–16 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.
SpecD16plds v5D2plds v5Δ
vCPUs162-87%
Memory32 GB4 GB-87%
Hourly Price$0.6140$0.0768-87%
Monthly Price$448.22$56.06-87%
Cost optimization

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

Connect your Azure account. We'll identify every underutilized Dpldsv5.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.