LSV2 family · Storage Optimizedx86_64 · Intel/AMD

L32s v2

The Azure L32s v2 (Standard_L32s_v2) is a virtual machine from the Lsv2 series, with 32 vCPUs, 256 GB of RAM and 320 GB of temporary storage. On-demand pricing starts at $2.4960/hour in East US.

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

Save up to $1400/mo on every L32s v2

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Pricing Overview

The Azure L32s v2 costs $2.50/hour ($1822.08/month) for Linux and $3.97/hour ($2896.64/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
$2.4960$1822.08 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.5778$421.81 -77%
You could save $1400.27/mo on this instance with the right pricing model.
Find my savings

Monthly cost estimator

Estimate your spend based on actual usage.
730 h
1h365h730h (24/7)
1
Estimated monthly
$1822.08
730 hrs × $2.4960/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i32
Memory i256 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within LSV2 family
L8s v2
8 vCPU
L16s v2
16 vCPU
L32s v2
32 vCPU
L48s v2
48 vCPU
L64s v2
64 vCPU
L80s v2
80 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.
SpecL32s v2L8s v2Δ
vCPUs328-75%
Memory256 GB64 GB-75%
Hourly Price$2.4960$0.6240-75%
Monthly Price$1822.08$455.52-75%
Cost optimization

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

Connect your Azure account. We'll identify every underutilized Lsv2.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.