BPSV2 family · General Purposex86_64 · Intel/AMD

B8pls v2

The Azure B8pls v2 (Standard_B8pls_v2) is a virtual machine from the Bpsv2 series, with 8 vCPUs and 16 GB of RAM. On-demand pricing starts at $0.2380/hour in East US.

Updated September 3, 2026
vCPUs
8
Memory
16 GB
Network
Up to 4–8 Gbps
Storage
Remote Disk Only

Save up to $17/mo on every B8pls v2

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Pricing Overview

The Azure B8pls v2 costs $0.2380/hour ($173.74/month) for Linux and $0.2750/hour ($200.75/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
$0.2380$173.74 Baseline
1-Year Reserved Instance
$0.1404$102.50 -41%
3-Year Reserved Instance
$0.0904$66.03 -62%
Spot Instance
$0.2142$156.37 -10%
You could save $17.37/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
$173.74
730 hrs × $0.2380/hr × 1

Compute

arm64 · Ampere Altra
vCPUs i8
Memory i16 GB
Physical processorAmpere® Altra® ARM Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within BPSV2 family
B2ps v2
2 vCPU
B2pts v2
2 vCPU
B2pls v2
2 vCPU
B4pls v2
4 vCPU
B4ps v2
4 vCPU
B8pls v2
8 vCPU
B8ps v2
8 vCPU
B16pls v2
16 vCPU
B16ps v2
16 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 bandwidth4–8 Gbps
Tier 1 bandwidthN/A
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks32
Max disk size32 TB
Local SSDsNo local SSD

Compare with another instance

vs.
SpecB8pls v2B2ps v2Δ
vCPUs82-75%
Memory16 GB8 GB-50%
Hourly Price$0.2380$0.0672-72%
Monthly Price$173.74$49.06-72%
Cost optimization

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

Connect your Azure account. We'll identify every underutilized Bpsv2.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.