H family · General Purposex86_64 · Intel/AMD

H16m

The Azure H16m (Standard_H16m) is a virtual machine from the H series, with 16 vCPUs, 224 GB of RAM and 2000 GB of temporary storage. On-demand pricing starts at $2.4220/hour in East US.

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

Save up to $1441/mo on every H16m

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

Pricing Overview

The Azure H16m costs $2.42/hour ($1768.06/month) for Linux and $4.70/hour ($3430.27/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
$2.4220$1768.06 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.4476$326.74 -82%
You could save $1441.32/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
$1768.06
730 hrs × $2.4220/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i16
Memory i224 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.
SpecH16mH8Δ
vCPUs168-50%
Memory224 GB56 GB-75%
Hourly Price$2.4220$0.9040-63%
Monthly Price$1768.06$659.92-63%
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.