E2 family · General Purposex86_64 · Intel/AMD

e2-standard-2

The e2-standard-2 machine type has 2 vCPUs and 8 GB of memory. Pricing for this instance starts at $0.07 per hour and $48.92 monthly in the us-central1 region.

Updated June 27, 2026
vCPUs
2
Memory
8 GB
Network
Up to 4 Gbps
Storage
Persistent Disk

Save up to $24/mo on every e2-standard-2

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All pricing options

us-central1 · USD · monthly = 730 hrs
Prices exclude local taxes
TermHourlyMonthlySavings
On-Demand
$0.0670$48.92 Baseline
1-Year Committed Use Discount (CUD)
$0.0422$30.82 -37%
3-Year Committed Use Discount (CUD)
$0.0302$22.01 -55%
Preemptible / Spot
$0.0335$24.46 -50%
You could save $24.46/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
$48.92
730 hrs × $0.0670/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i2
Memory i8 GB
Physical processorAMD Rome, Intel Broadwell, Intel Haswell, Intel Skylake
Nested VirtualizationNot supported
Sole TenantNot supported
GPUNone
Within E2 family
e2-micro
shared vCPU
e2-small
shared vCPU
e2-medium
shared vCPU
e2-highcpu-2
2 vCPU
e2-standard-2
2 vCPU
e2-highmem-2
2 vCPU
e2-highcpu-4
4 vCPU
e2-standard-4
4 vCPU
e2-highmem-4
4 vCPU
e2-highcpu-8
8 vCPU
e2-standard-8
8 vCPU
e2-highmem-8
8 vCPU
e2-highcpu-16
16 vCPU
e2-standard-16
16 vCPU
e2-highmem-16
16 vCPU
e2-highcpu-32
32 vCPU
e2-standard-32
32 vCPU

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

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Networking

Max egress bandwidth4 Gbps
Tier 1 bandwidthN/A
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks128
Max disk size257 TB
Local SSDsNo local SSD

Compare with another instance

vs.
Spece2-standard-2e2-microΔ
vCPUs2shared—
Memory8 GB1 GB-87%
Hourly Price$0.0670$0.0084-87%
Monthly Price$48.92$6.11-88%
Cost optimization

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

Connect your GCP account. We'll identify every underutilized e2.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to CUDs saves money — with zero code changes.