M3 family · Memory Optimizedx86_64 · Intel/AMD

m3-megamem-64

The m3-megamem-64 machine type has 64 vCPUs and 976 GB of memory. Pricing for this instance starts at $7.20 per hour and $5259.50 monthly in the us-central1 region.

Updated June 21, 2026
vCPUs
64
Memory
976 GB
Network
Up to 32 Gbps
Storage
Local SSD

Save up to $2630/mo on every m3-megamem-64

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
$7.2048$5259.50 Baseline
1-Year Committed Use Discount (CUD)
$4.2627$3111.79 -41%
3-Year Committed Use Discount (CUD)
$2.1621$1578.32 -70%
Preemptible / Spot
$3.6024$2629.75 -50%
You could save $2629.75/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
$5259.50
730 hrs × $7.2048/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i64
Memory i976 GB
Physical processorIntel Ice Lake
Nested VirtualizationNot supported
Sole TenantNot supported
GPUNone
Within M3 family
m3-ultramem-32
32 vCPU
m3-megamem-64
64 vCPU
m3-ultramem-64
64 vCPU
m3-megamem-128
128 vCPU
m3-ultramem-128
128 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 bandwidth32 Gbps
Tier 1 bandwidth50 Gbps
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks128
Max disk size512 TB
Local SSDsSupported (Scratch Disk)

Compare with another instance

vs.
Specm3-megamem-64m3-ultramem-32Δ
vCPUs6432-50%
Memory976 GB976 GB0%
Hourly Price$7.2048$6.0912-15%
Monthly Price$5259.50$4446.58-15%
Cost optimization

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

Connect your GCP account. We'll identify every underutilized m3.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to CUDs saves money — with zero code changes.