Google Compute Engine Machine Type n2-highcpu-4

General-purpose Google Compute Engine machine type n2-highcpu-4 with 4 vCPU and 4 GB memory. Available in 40 Google Cloud regions.

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Google Cloud VM n2-highcpu-4

Technical facts about the Google Compute Engine machine type n2-highcpu-4.

Series N2
Family General-purpose
vCPU 4
Memory 4 GB
CPU Manufactur Intel
CPU Platform
  • Intel Ice Lake
  • Intel Cascade Lake
CPU Base Frequency 2.6 GHz
CPU Turbo Frequency 3.4 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 66908
EEMBC CoreMark Standard Deviation 0.64 %
EEMBC CoreMark Sample Count 2328
SAP Standard Benchmark (?) -
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD βœ”οΈ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) βœ”οΈ
GCE API Description 4 vCPUs 4 GB RAM

Costs (Pricing) for n2-highcpu-4

Cost and pricing across all regions for Google Cloud VM n2-highcpu-4.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.1434 0.1741 0.2294
Spot provisioning model (Spot VM) 0.0155 0.0453 0.0842

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 83.76 101.69 134.02
Spot provisioning model (Spot VM) 11.32 33.06 61.5
1 year commitment (CUD) 65.95 79.87 105.51
3 year commitment (CUD) 47.11 57.05 75.37

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highcpu-4.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 134.32
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 42.05 42.05 42.05
SUSE Linux Enterprise Server for SAP 248.2 100.01 89.42
Red Hat Enterprise Linux for SAP 65.7 65.7 65.7

Price per Region

Costs and pricing for Google Compute Engine machine type n2-highcpu-4 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 37%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa πŸƒ 4 2 0.1434 0.0447 83.76 65.95 47.11
us-east1 South Carolina 3 2 0.1434 0.0447 83.76 65.95 47.11
us-east5 Columbus 3 2 0.1434 0.0501 83.76 65.95 47.11
us-west1 Oregon πŸƒ 3 2 0.1434 0.0447 83.76 65.95 47.11
africa-south1 Johannesburg 3 2 0.1577 0.0365 92.14 72.54 51.82
europe-west1 Belgium πŸƒ 3 2 0.1577 0.0205 92.14 72.54 51.82
me-west1 Tel Aviv 3 2 0.1577 0.059 92.14 72.54 51.82
europe-north1 Finland πŸƒ 3 2 0.1579 0.0532 92.22 72.6 51.86
europe-west4 Netherlands πŸƒ 3 2 0.1579 0.0548 92.22 72.6 51.86
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 0.1579 0.0433 92.22 72.6 51.85
northamerica-northeast2 Toronto πŸƒ 3 2 0.1579 0.0159 92.22 72.6 51.85
us-east4 Northern Virginia 3 2 0.1615 0.0324 94.34 70.56 50.4
us-west4 Las Vegas 3 2 0.1615 0.0625 94.34 70.56 50.4
asia-east1 Taiwan 3 2 0.166 0.0428 96.99 76.36 54.54
europe-west8 Milan 3 2 0.1663 0.024 97.16 76.5 54.64
europe-west9 Paris πŸƒ 3 2 0.1663 0.0379 97.16 76.5 54.64
europe-southwest1 Madrid πŸƒ 3 2 0.1692 0.0352 98.84 77.82 55.58
us-south1 Dallas πŸƒ 3 2 0.1692 0.0462 98.84 77.82 55.58
asia-south1 Mumbai 3 2 0.1722 0.0399 100.61 79.2 56.58
asia-south2 Delhi 3 2 0.1722 0.0155 100.61 79.2 56.58
us-west2 Los Angeles 3 2 0.1722 0.0463 100.61 79.21 56.58
us-west3 Salt Lake City 3 2 0.1722 0.0654 100.61 79.21 56.58
australia-southeast2 Melbourne 3 2 0.1729 0.0594 101.03 79.57 56.84
europe-central2 Warsaw 3 2 0.1735 0.0418 101.35 79.8 57
me-central1 Doha 3 2 0.1742 0.0486 101.77 80.12 57.23
asia-southeast1 Singapore 3 2 0.1769 0.0631 103.34 81.35 58.11
asia-northeast1 Tokyo 3 2 0.1841 0.0438 107.57 84.69 60.49
asia-northeast2 Osaka 3 2 0.1841 0.0509 107.57 84.69 60.49
asia-northeast3 Seoul 3 2 0.1841 0.0455 107.57 84.69 60.49
europe-west10 Berlin 3 2 0.1848 0.0421 107.93 84.89 60.63
europe-west2 London πŸƒ 3 2 0.1848 0.0283 107.92 84.89 60.63
europe-west3 Frankfurt 3 2 0.1848 0.0642 107.92 84.89 60.63
europe-west12 Turin 3 2 0.185 0.0307 108.05 85.07 60.77
europe-west6 Zurich πŸƒ 3 2 0.1878 0.05 109.73 86.39 61.71
asia-southeast2 Jakarta 3 2 0.1928 0.0842 112.64 88.67 63.34
asia-east2 Hong Kong 3 2 0.2006 0.0655 117.2 92.27 65.91
australia-southeast1 Sydney 3 2 0.2035 0.0589 118.86 93.62 66.87
southamerica-west1 Santiago πŸƒ 3 2 0.2051 0.0384 119.78 94.3 67.36
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 0.2276 0.0518 132.96 104.71 74.79
me-central2 Dammam 3 2 0.2294 0.0287 134.02 105.51 75.37