Google Compute Engine Machine Type n4-highmem-80
General-purpose Google Compute Engine machine type n4-highmem-80 with 80 vCPU and 640 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highmem-80
Technical facts about the Google Compute Engine machine type n4-highmem-80.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 80 |
| Memory | 640 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 (?) | 1536069 |
| EEMBC CoreMark Standard Deviation | 2.82 % |
| EEMBC CoreMark Sample Count | 80 |
| 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, 640 GB RAM |
Costs (Pricing) for n4-highmem-80
Cost and pricing across all regions for Google Cloud VM n4-highmem-80.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 4.7608 | 5.6139 | 7.6173 |
| Spot provisioning model (Spot VM) | 0.8494 | 2.0426 | 3.1186 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 3475.38 | 4098.13 | 5560.61 |
| Spot provisioning model (Spot VM) | 620.09 | 1491.11 | 2276.55 |
| 1 year commitment (CUD) | 2189.42 | 2581.73 | 3503.07 |
| 3 year commitment (CUD) | 1563.95 | 1848.18 | 2502.32 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highmem-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-highmem-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 | 4.7608 | 2.5859 | 3475.38 | 2189.42 | 1563.95 |
| us-east1 | South Carolina | 3 | 1 | 4.7608 | 2.5859 | 3475.38 | 2189.42 | 1563.95 |
| us-east4 | Northern Virginia | 3 | 1 | 4.7608 | 2.2163 | 3475.38 | 2189.42 | 1563.95 |
| us-east5 | Columbus | 3 | 1 | 4.7608 | 1.4707 | 3475.38 | 2189.42 | 1563.95 |
| us-west1 | Oregon 🍃 | 3 | 1 | 4.7608 | 2.5859 | 3475.38 | 2189.42 | 1563.95 |
| asia-south1 | Mumbai | 3 | 1 | 4.9512 | 1.8939 | 3614.4 | 2276.99 | 1626.51 |
| asia-south2 | Delhi | 3 | 1 | 4.9512 | 1.0989 | 3614.4 | 2276.99 | 1626.51 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 4.9988 | 2.0755 | 3649.15 | 2298.89 | 1680.42 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 4.9988 | 1.0653 | 3649.15 | 2298.89 | 1680.42 |
| asia-southeast3 | Bangkok | 3 | 1 | 4.9989 | 1.5085 | 3649.18 | 2298.89 | 1642.17 |
| northamerica-south1 | Mexico | 3 | 1 | 5.1893 | 2.711 | 3788.17 | 2386.46 | 1704.71 |
| me-west1 | Tel Aviv | 2 | 1 | 5.2369 | 1.633 | 3822.92 | 2408.36 | 1720.35 |
| africa-south1 | Johannesburg | 3 | 1 | 5.2421 | 1.7552 | 3826.74 | 2410.76 | 1722.07 |
| europe-north1 | Finland 🍃 | 3 | 1 | 5.2421 | 2.1914 | 3826.75 | 2410.77 | 1722.07 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 5.2421 | 0.8494 | 3826.75 | 2410.77 | 1722.07 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 5.2421 | 1.3485 | 3826.75 | 2410.77 | 1722.07 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 5.2421 | 1.7016 | 3826.75 | 2410.77 | 1722.07 |
| us-west4 | Las Vegas | 3 | 1 | 5.3621 | 2.789 | 3914.33 | 2465.94 | 1761.48 |
| europe-west2 | London 🍃 | 3 | 1 | 5.4273 | 2.0133 | 3961.94 | 2495.93 | 1782.91 |
| asia-east1 | Taiwan | 3 | 1 | 5.5125 | 3.0307 | 4024.15 | 2535.13 | 1810.9 |
| europe-west8 | Milan | 3 | 1 | 5.5225 | 1.3462 | 4031.45 | 2539.72 | 1814.18 |
| europe-west9 | Paris 🍃 | 3 | 1 | 5.5225 | 1.8238 | 4031.45 | 2539.72 | 1814.18 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 5.6177 | 1.5715 | 4100.95 | 2583.51 | 1845.46 |
| europe-west3 | Frankfurt | 3 | 1 | 5.6177 | 2.8405 | 4100.95 | 2583.51 | 1845.46 |
| us-south1 | Dallas 🍃 | 2 | 1 | 5.6177 | 1.1675 | 4100.95 | 2583.51 | 1845.46 |
| us-west2 | Los Angeles | 3 | 1 | 5.723 | 3.1186 | 4177.76 | 2631.9 | 1880.03 |
| us-west3 | Salt Lake City | 3 | 1 | 5.723 | 0.9787 | 4177.76 | 2631.9 | 1880.03 |
| europe-central2 | Warsaw | 2 | 1 | 5.7606 | 2.5459 | 4205.21 | 2649.19 | 1892.38 |
| me-central1 | Doha | 2 | 1 | 5.7844 | 2.4136 | 4222.59 | 2660.14 | 1941.58 |
| asia-southeast1 | Singapore | 3 | 1 | 5.8734 | 2.8032 | 4287.58 | 2701.08 | 1929.45 |
| australia-southeast1 | Sydney | 3 | 1 | 5.951 | 2.6138 | 4344.23 | 2736.77 | 2000.5 |
| asia-northeast1 | Tokyo | 3 | 1 | 6.1138 | 3.0406 | 4463.09 | 2811.65 | 2008.43 |
| asia-northeast2 | Osaka | 3 | 1 | 6.1138 | 1.8531 | 4463.09 | 2811.65 | 2008.43 |
| asia-northeast3 | Seoul | 3 | 1 | 6.1138 | 2.9456 | 4463.09 | 2811.65 | 2008.43 |
| australia-southeast2 | Melbourne | 3 | 1 | 6.189 | 1.9059 | 4518 | 2846.24 | 2033.14 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 6.2366 | 2.9248 | 4552.75 | 2868.13 | 2048.78 |
| asia-southeast2 | Jakarta | 3 | 1 | 6.4018 | 2.749 | 4673.35 | 2944.11 | 2103.05 |
| asia-east2 | Hong Kong | 3 | 1 | 6.6599 | 0.9573 | 4861.71 | 3062.77 | 2187.81 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 6.8079 | 2.1234 | 4969.8 | 3130.86 | 2236.45 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 7.5597 | 1.4384 | 5518.56 | 3476.57 | 2483.4 |
| me-central2 | Dammam | 2 | 1 | 7.6173 | 1.4757 | 5560.61 | 3503.07 | 2502.32 |