H family · General Purposex86_64 · Intel/AMD

H16r

The Azure H16r (Standard_H16r) is a virtual machine from the H series, with 16 vCPUs, 112 GB of RAM and 2000 GB of temporary storage. On-demand pricing starts at $1.9880/hour in East US.

Updated September 3, 2026
vCPUs
16
Memory
112 GB
Network
Up to 8–16 Gbps
Storage
2000 GB Temp SSD

Save up to $1183/mo on every H16r

Connect Azure — we'll find the optimal pricing model for your workload.

Pricing Overview

The Azure H16r costs $1.99/hour ($1451.24/month) for Linux and $3.86/hour ($2816.34/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
$1.9880$1451.24 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.3674$268.19 -82%
You could save $1183.05/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
$1451.24
730 hrs × $1.9880/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i16
Memory i112 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within H family
H8
8 vCPU
H8m
8 vCPU
H16
16 vCPU
H16m
16 vCPU
H16mr
16 vCPU
H16r
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 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.
SpecH16rH8Δ
vCPUs168-50%
Memory112 GB56 GB-50%
Hourly Price$1.9880$0.9040-55%
Monthly Price$1451.24$659.92-55%
Cost optimization

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

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