M4 family · General Purposex86_64 · Intel/AMD

m4-ultramem-112

The m4-ultramem-112 machine type has 112 vCPUs and 2976 GB of memory. Pricing for this instance starts at $15.65 per hour and $11422.68 monthly in the us-central1 region.

Updated June 16, 2026
vCPUs
112
Memory
2976 GB
Network
Up to 50 Gbps
Storage
Persistent Disk

Save up to $5711/mo on every m4-ultramem-112

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

All pricing options

us-central1 · USD · monthly = 730 hrs
Prices exclude local taxes
TermHourlyMonthlySavings
On-Demand
$15.6475$11422.68 Baseline
1-Year Committed Use Discount (CUD)
$9.2320$6739.38 -41%
3-Year Committed Use Discount (CUD)
$4.6942$3426.80 -70%
Preemptible / Spot
$7.8238$5711.40 -50%
You could save $5711.27/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
$11422.68
730 hrs × $15.6475/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i112
Memory i2976 GB
Physical processorIntel Emerald Rapids
Nested VirtualizationNot supported
Sole TenantNot supported
GPUNone
Within M4 family
m4-hypermem-16
16 vCPU
m4-megamem-28
28 vCPU
m4-hypermem-32
32 vCPU
m4-megamem-56
56 vCPU
m4-hypermem-64
64 vCPU
m4-ultramem-56
56 vCPU
m4-megamem-112
112 vCPU
m4-ultramem-112
112 vCPU
m4-megamem-224
224 vCPU
m4-ultramem-224
224 vCPU

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

Connect your Google Cloud account to apply this pricing logic to every running instance automatically.

Networking

Max egress bandwidth50 Gbps
Tier 1 bandwidth100 Gbps
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks128
Max disk size512 TB
Local SSDsNo local SSD

Compare with another instance

vs.
Specm4-ultramem-112m4-hypermem-16Δ
vCPUs11216-86%
Memory2976 GB248 GB-92%
Hourly Price$15.6475$1.4258-91%
Monthly Price$11422.68$1040.84-91%
Cost optimization

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

Connect your GCP account. We'll identify every underutilized m4.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to CUDs saves money — with zero code changes.