FSV2 family · Compute Optimizedx86_64 · Intel/AMD

F32s v2

The Azure F32s v2 (Standard_F32s_v2) is a virtual machine from the Fsv2 series, with 32 vCPUs, 64 GB of RAM and 256 GB of temporary storage. On-demand pricing starts at $1.3530/hour in East US.

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

Save up to $770/mo on every F32s v2

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Region
Currency
OS
Pricing Overview

The Azure F32s v2 costs $1.35/hour ($987.69/month) for Linux and $2.83/hour ($2065.90/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
$1.3530$987.69 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.2977$217.29 -78%
You could save $770.40/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
$987.69
730 hrs × $1.3530/hr × 1
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Compute

x86_64 · Intel/AMD
vCPUs i32
Memory i64 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within FSV2 family
F2s v2
2 vCPU
F4s v2
4 vCPU
F8s v2
8 vCPU
F16s v2
16 vCPU
F32s v2
32 vCPU
F48s v2
48 vCPU
F64s v2
64 vCPU
F72s v2
72 vCPU

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

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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)
Instance storage: Persistent Disk only by default — attach volumes for persistent storage.

Compare with another instance

vs.
SpecF32s v2F2s v2Δ
vCPUs322-94%
Memory64 GB4 GB-94%
Hourly Price$1.3530$0.0846-94%
Monthly Price$987.69$61.76-94%
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Cost optimization

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

Connect your Azure account. We'll identify every underutilized Fsv2.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.

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