Google Compute Engine Machine Type n4-highcpu-80
General-purpose Google Compute Engine machine type n4-highcpu-80 with 80 vCPU and 160 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highcpu-80
Technical facts about the Google Compute Engine machine type n4-highcpu-80.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 80 |
| Memory | 160 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 (?) | 1651766 |
| EEMBC CoreMark Standard Deviation | 0.87 % |
| EEMBC CoreMark Sample Count | 84 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 50 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 512 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 | 80 vCPUs, 160 GB RAM |
Costs (Pricing) for n4-highcpu-80
Cost and pricing across all regions for Google Cloud VM n4-highcpu-80.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 3.0616 | 3.6102 | 4.8986 |
| Spot provisioning model (Spot VM) | 0.4966 | 1.288 | 2.0584 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 2234.97 | 2635.45 | 3575.95 |
| Spot provisioning model (Spot VM) | 362.55 | 940.23 | 1502.63 |
| 1 year commitment (CUD) | 1408.02 | 1660.32 | 2252.84 |
| 3 year commitment (CUD) | 1005.76 | 1189.22 | 1609.22 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-80.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 2686.4 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 630.72 | 630.72 | 630.72 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 949 | 949 | 949 |
Price per Region
Costs and pricing for Google Compute Engine machine type n4-highcpu-80 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 1 | 3.0616 | 1.5117 | 2234.97 | 1408.02 | 1005.76 |
| us-east1 | South Carolina | 3 | 1 | 3.0616 | 1.5117 | 2234.97 | 1408.02 | 1005.76 |
| us-east4 | Northern Virginia | 3 | 1 | 3.0616 | 1.3576 | 2234.97 | 1408.02 | 1005.76 |
| us-east5 | Columbus | 3 | 1 | 3.0616 | 0.8598 | 2234.97 | 1408.02 | 1005.76 |
| us-west1 | Oregon 🍃 | 3 | 1 | 3.0616 | 1.5117 | 2234.97 | 1408.02 | 1005.76 |
| asia-south1 | Mumbai | 3 | 1 | 3.1841 | 1.1602 | 2324.37 | 1464.34 | 1046 |
| asia-south2 | Delhi | 3 | 1 | 3.1841 | 0.744 | 2324.37 | 1464.34 | 1046 |
| asia-southeast3 | Bangkok | 3 | 1 | 3.2147 | 1.021 | 2346.75 | 1478.43 | 1056.06 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 3.2147 | 1.2133 | 2346.72 | 1478.43 | 1094.32 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 3.2147 | 0.7214 | 2346.72 | 1478.43 | 1094.32 |
| northamerica-south1 | Mexico | 3 | 1 | 3.3371 | 1.8355 | 2436.12 | 1534.75 | 1096.28 |
| me-west1 | Tel Aviv | 2 | 1 | 3.3678 | 1.1053 | 2458.46 | 1548.83 | 1106.34 |
| africa-south1 | Johannesburg | 3 | 1 | 3.3711 | 1.0749 | 2460.92 | 1550.37 | 1107.45 |
| europe-north1 | Finland 🍃 | 3 | 1 | 3.3711 | 1.4088 | 2460.92 | 1550.38 | 1107.45 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 3.3711 | 0.4966 | 2460.92 | 1550.38 | 1107.45 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 3.3711 | 0.9128 | 2460.92 | 1550.38 | 1107.45 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 3.3711 | 1.1523 | 2460.92 | 1550.38 | 1107.45 |
| us-west4 | Las Vegas | 3 | 1 | 3.4483 | 1.8877 | 2517.24 | 1585.86 | 1132.79 |
| europe-west2 | London 🍃 | 3 | 1 | 3.4902 | 1.233 | 2547.86 | 1605.15 | 1146.57 |
| asia-east1 | Taiwan | 3 | 1 | 3.545 | 1.8562 | 2587.87 | 1630.35 | 1164.57 |
| europe-west8 | Milan | 3 | 1 | 3.5515 | 0.911 | 2592.56 | 1633.31 | 1166.69 |
| europe-west9 | Paris 🍃 | 3 | 1 | 3.5515 | 1.0661 | 2592.56 | 1633.31 | 1166.69 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 3.6127 | 0.9187 | 2637.26 | 1661.47 | 1186.8 |
| europe-west3 | Frankfurt | 3 | 1 | 3.6127 | 1.6608 | 2637.26 | 1661.47 | 1186.8 |
| us-south1 | Dallas 🍃 | 2 | 1 | 3.6127 | 0.7155 | 2637.26 | 1661.47 | 1186.8 |
| us-west2 | Los Angeles | 3 | 1 | 3.6803 | 1.9102 | 2686.66 | 1692.59 | 1209.03 |
| us-west3 | Salt Lake City | 3 | 1 | 3.6803 | 0.6626 | 2686.66 | 1692.59 | 1209.03 |
| europe-central2 | Warsaw | 2 | 1 | 3.7045 | 1.7237 | 2704.31 | 1703.71 | 1216.98 |
| me-central1 | Doha | 2 | 1 | 3.7198 | 1.552 | 2715.49 | 1710.75 | 1232.35 |
| asia-southeast1 | Singapore | 3 | 1 | 3.7771 | 1.717 | 2757.28 | 1737.08 | 1240.81 |
| australia-southeast1 | Sydney | 3 | 1 | 3.827 | 1.6806 | 2793.71 | 1760.03 | 1302.77 |
| asia-northeast1 | Tokyo | 3 | 1 | 3.9317 | 2.0584 | 2870.15 | 1808.18 | 1291.6 |
| asia-northeast2 | Osaka | 3 | 1 | 3.9317 | 1.1917 | 2870.15 | 1808.18 | 1291.6 |
| asia-northeast3 | Seoul | 3 | 1 | 3.9317 | 1.8042 | 2870.15 | 1808.18 | 1291.6 |
| australia-southeast2 | Melbourne | 3 | 1 | 3.9801 | 1.1672 | 2905.46 | 1830.43 | 1307.49 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 4.0107 | 1.7099 | 2927.81 | 1844.51 | 1317.55 |
| asia-southeast2 | Jakarta | 3 | 1 | 4.1169 | 1.8611 | 3005.36 | 1893.37 | 1352.45 |
| asia-east2 | Hong Kong | 3 | 1 | 4.2829 | 0.648 | 3126.5 | 1969.69 | 1406.96 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 4.3781 | 1.4371 | 3196 | 2013.47 | 1438.24 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 4.8615 | 0.9738 | 3548.91 | 2235.8 | 1597.05 |
| me-central2 | Dammam | 2 | 1 | 4.8986 | 0.8627 | 3575.95 | 2252.84 | 1609.22 |