Google Compute Engine Machine Type n4-highcpu-4
General-purpose Google Compute Engine machine type n4-highcpu-4 with 4 vCPU and 8 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highcpu-4
Technical facts about the Google Compute Engine machine type n4-highcpu-4.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 4 |
| Memory | 8 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.1 GHz |
| CPU Turbo Frequency | 2.9 GHz |
| CPU Max. Turbo Frequency | 3.3 GHz |
| EEMBC CoreMark Benchmark (?) | 86649 |
| EEMBC CoreMark Standard Deviation | 0.58 % |
| EEMBC CoreMark Sample Count | 80 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 10 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ❌ Optional |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 4 vCPUs, 8 GB RAM |
Costs (Pricing) for n4-highcpu-4
Cost and pricing across all regions for Google Cloud VM n4-highcpu-4.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.1531 | 0.1805 | 0.2449 |
| Spot provisioning model (Spot VM) | 0.0259 | 0.0649 | 0.1084 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 111.75 | 131.77 | 178.8 |
| Spot provisioning model (Spot VM) | 18.91 | 47.35 | 79.11 |
| 1 year commitment (CUD) | 70.4 | 83.02 | 112.64 |
| 3 year commitment (CUD) | 50.29 | 59.46 | 80.46 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-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 n4-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 🍃 | 4 | 1 | 0.1531 | 0.0914 | 111.75 | 70.4 | 50.29 |
| us-east1 | South Carolina | 3 | 1 | 0.1531 | 0.0914 | 111.75 | 70.4 | 50.29 |
| us-east4 | Northern Virginia | 3 | 1 | 0.1531 | 0.0825 | 111.75 | 70.4 | 50.29 |
| us-east5 | Columbus | 3 | 1 | 0.1531 | 0.047 | 111.75 | 70.4 | 50.29 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.1531 | 0.0914 | 111.75 | 70.4 | 50.29 |
| asia-south1 | Mumbai | 3 | 1 | 0.1592 | 0.0522 | 116.22 | 73.22 | 52.3 |
| asia-south2 | Delhi | 3 | 1 | 0.1592 | 0.0388 | 116.22 | 73.22 | 52.3 |
| asia-southeast3 | Bangkok | 3 | 1 | 0.1607 | 0.0416 | 117.34 | 73.92 | 52.8 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 0.1607 | 0.0667 | 117.34 | 73.92 | 54.72 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.1607 | 0.0359 | 117.34 | 73.92 | 54.72 |
| northamerica-south1 | Mexico | 3 | 1 | 0.1669 | 0.0747 | 121.81 | 76.74 | 54.81 |
| me-west1 | Tel Aviv | 2 | 1 | 0.1684 | 0.0576 | 122.92 | 77.44 | 55.32 |
| africa-south1 | Johannesburg | 3 | 1 | 0.1686 | 0.0404 | 123.05 | 77.52 | 55.37 |
| europe-north1 | Finland 🍃 | 3 | 1 | 0.1686 | 0.0775 | 123.05 | 77.52 | 55.37 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.1686 | 0.0259 | 123.05 | 77.52 | 55.37 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.1686 | 0.0372 | 123.05 | 77.52 | 55.37 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.1686 | 0.06 | 123.05 | 77.52 | 55.37 |
| us-west4 | Las Vegas | 3 | 1 | 0.1724 | 0.0939 | 125.86 | 79.29 | 56.64 |
| europe-west2 | London 🍃 | 3 | 1 | 0.1745 | 0.0613 | 127.39 | 80.26 | 57.33 |
| asia-east1 | Taiwan | 3 | 1 | 0.1773 | 0.0674 | 129.39 | 81.52 | 58.23 |
| europe-west8 | Milan | 3 | 1 | 0.1776 | 0.043 | 129.63 | 81.67 | 58.33 |
| europe-west9 | Paris 🍃 | 3 | 1 | 0.1776 | 0.0556 | 129.63 | 81.67 | 58.33 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 0.1806 | 0.0433 | 131.86 | 83.07 | 59.34 |
| europe-west3 | Frankfurt | 3 | 1 | 0.1806 | 0.1084 | 131.86 | 83.07 | 59.34 |
| us-south1 | Dallas 🍃 | 2 | 1 | 0.1806 | 0.0393 | 131.86 | 83.07 | 59.34 |
| us-west2 | Los Angeles | 3 | 1 | 0.184 | 0.1 | 134.33 | 84.63 | 60.45 |
| us-west3 | Salt Lake City | 3 | 1 | 0.184 | 0.027 | 134.33 | 84.63 | 60.45 |
| europe-central2 | Warsaw | 2 | 1 | 0.1852 | 0.0819 | 135.22 | 85.19 | 60.85 |
| me-central1 | Doha | 2 | 1 | 0.186 | 0.0815 | 135.77 | 85.54 | 61.62 |
| asia-southeast1 | Singapore | 3 | 1 | 0.1889 | 0.0854 | 137.86 | 86.85 | 62.04 |
| australia-southeast1 | Sydney | 3 | 1 | 0.1913 | 0.0882 | 139.69 | 88 | 65.14 |
| asia-northeast1 | Tokyo | 3 | 1 | 0.1966 | 0.1024 | 143.51 | 90.41 | 64.58 |
| asia-northeast2 | Osaka | 3 | 1 | 0.1966 | 0.0688 | 143.51 | 90.41 | 64.58 |
| asia-northeast3 | Seoul | 3 | 1 | 0.1966 | 0.1039 | 143.51 | 90.41 | 64.58 |
| australia-southeast2 | Melbourne | 3 | 1 | 0.199 | 0.0642 | 145.27 | 91.52 | 65.37 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 0.2005 | 0.0934 | 146.39 | 92.23 | 65.88 |
| asia-southeast2 | Jakarta | 3 | 1 | 0.2058 | 0.0597 | 150.27 | 94.67 | 67.62 |
| asia-east2 | Hong Kong | 3 | 1 | 0.2141 | 0.0264 | 156.32 | 98.48 | 70.35 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 0.2189 | 0.0677 | 159.8 | 100.67 | 71.91 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.2431 | 0.0397 | 177.45 | 111.79 | 79.85 |
| me-central2 | Dammam | 2 | 1 | 0.2449 | 0.045 | 178.8 | 112.64 | 80.46 |