BASV2 family · General Purposex86_64 · Intel/AMD

B8as v2

The Azure B8as v2 (Standard_B8as_v2) is a virtual machine from the Basv2 series, with 8 vCPUs and 32 GB of RAM. On-demand pricing starts at $0.3010/hour in East US.

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

Save up to $22/mo on every B8as v2

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Pricing Overview

The Azure B8as v2 costs $0.3010/hour ($219.73/month) for Linux and $0.3380/hour ($246.74/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
$0.3010$219.73 Baseline
1-Year Reserved Instance
$0.1775$129.58 -41%
3-Year Reserved Instance
$0.1143$83.44 -62%
Spot Instance
$0.2709$197.76 -10%
You could save $21.97/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
$219.73
730 hrs × $0.3010/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i8
Memory i32 GB
Physical processorAMD EPYCâ„¢ Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within BASV2 family
B2als v2
2 vCPU
B2as v2
2 vCPU
B2ats v2
2 vCPU
B4als v2
4 vCPU
B4as v2
4 vCPU
B8als v2
8 vCPU
B8as v2
8 vCPU
B16als v2
16 vCPU
B16as v2
16 vCPU
B32als v2
32 vCPU
B32as v2
32 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.
SpecB8as v2B2als v2Δ
vCPUs82-75%
Memory32 GB4 GB-87%
Hourly Price$0.3010$0.0376-88%
Monthly Price$219.73$27.45-88%
Cost optimization

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

Connect your Azure account. We'll identify every underutilized Basv2.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.