Google Compute Engine Machine Type n2-standard-80
Balanced Google Compute Engine machine type n2-standard-80 with 80 vCPU and 320 GB memory. GCE machine type n2-standard-80 is certified for SAP applications on Google Cloud Platform. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM n2-standard-80
Technical facts about the Google Compute Engine machine type n2-standard-80.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 80 |
| Memory | 320 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.8 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.9 GHz |
| EEMBC CoreMark Benchmark (?) | 1338406 |
| EEMBC CoreMark Standard Deviation | 1.39 % |
| EEMBC CoreMark Sample Count | 795 |
| SAP Standard Benchmark (?) | 133183 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 100 Gbps |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 80 vCPUs 320 GB RAM |
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Costs (Pricing) for n2-standard-80
Average cost and pricing across all regions for Google Cloud VM n2-standard-80.
| Avg. costs per hour | 4.7112 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 2752.02 |
| Avg. costs per month with 1 year commitment (CUD) | 2160.73 |
| Avg. costs per month with 3 year commitment (CUD) | 1543.44 |
Costs and pricing for Google Compute Engine machine type n2-standard-80 in Google Cloud regions in which the VM is available.
| Region | Location | #Zones | #Platf. | Hour ⬇️ | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 2 | 3.8847 | 2269.24 SUD | 1786.51 | 1276.22 |
| us-east1 | South Carolina | 4 | 2 | 3.8847 | 2269.24 SUD | 1786.51 | 1276.22 |
| us-east5 | Columbus | 3 | 1 | 3.8847 | 2269.24 SUD | 1786.51 | 1276.22 |
| us-west1 | Oregon 🍃 | 3 | 2 | 3.8847 | 2269.24 SUD | 1786.51 | 1276.22 |
| me-west1 | Tel Aviv | 3 | 1 | 4.2732 | 2496.17 SUD | 1965.17 | 1403.84 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 4.2734 | 2496.27 SUD | 1965.22 | 1403.7 |
| europe-west4 | Netherlands | 3 | 2 | 4.2766 | 2498.18 SUD | 1966.74 | 1404.93 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 4.2766 | 2498.18 SUD | 1966.74 | 1404.64 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 1 | 4.2766 | 2498.18 SUD | 1966.74 | 1404.64 |
| europe-north1 | Finland 🍃 | 3 | 1 | 4.277 | 2498.37 SUD | 1966.74 | 1404.93 |
| us-west4 | Las Vegas | 3 | 2 | 4.375 | 2555.62 SUD | 1911.61 | 1365.45 |
| us-east4 | Northern Virginia | 3 | 2 | 4.3751 | 2555.71 SUD | 1911.61 | 1365.45 |
| asia-east1 | Taiwan | 3 | 1 | 4.4981 | 2627.54 SUD | 2068.7 | 1477.7 |
| europe-west8 | Milan | 3 | 1 | 4.5063 | 2632.32 SUD | 2072.36 | 1480.41 |
| europe-west9 | Paris 🍃 | 3 | 1 | 4.5063 | 2632.32 SUD | 2072.36 | 1480.41 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 4.584 | 2677.71 SUD | 2108.09 | 1505.93 |
| us-south1 | Dallas | 3 | 1 | 4.584 | 2677.71 SUD | 2108.09 | 1505.93 |
| asia-south1 | Mumbai | 3 | 1 | 4.6658 | 2725.49 SUD | 2145.5 | 1532.71 |
| asia-south2 | Delhi | 3 | 1 | 4.6658 | 2725.49 SUD | 2145.5 | 1532.71 |
| us-west2 | Los Angeles | 3 | 1 | 4.6661 | 2725.67 SUD | 2145.91 | 1532.82 |
| us-west3 | Salt Lake City | 3 | 2 | 4.6661 | 2725.67 SUD | 2145.91 | 1532.82 |
| asia-southeast1 | Singapore | 3 | 2 | 4.7922 | 2799.37 SUD | 2203.72 | 1574.23 |
| asia-northeast1 | Tokyo | 3 | 2 | 4.9835 | 2911.1 SUD | 2291.91 | 1636.95 |
| asia-northeast2 | Osaka | 3 | 1 | 4.9887 | 2914.14 SUD | 2294.36 | 1638.94 |
| asia-northeast3 | Seoul | 3 | 1 | 4.9887 | 2914.14 SUD | 2294.36 | 1638.94 |
| europe-central2 | Warsaw | 3 | 1 | 5.005 | 2923.63 SUD | 2299.56 | 1642.38 |
| europe-west2 | London | 3 | 2 | 5.005 | 2923.63 SUD | 2299.56 | 1642.38 |
| europe-west3 | Frankfurt | 3 | 2 | 5.005 | 2923.63 SUD | 2299.56 | 1642.38 |
| asia-southeast2 | Jakarta | 3 | 1 | 5.2235 | 3051.31 SUD | 2402.06 | 1715.91 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 5.4343 | 3174.44 SUD | 2499.23 | 1785.35 |
| asia-east2 | Hong Kong | 3 | 1 | 5.4354 | 3175.09 SUD | 2499.58 | 1785.4 |
| australia-southeast1 | Sydney | 3 | 1 | 5.512 | 3219.81 SUD | 2535.61 | 1811.1 |
| australia-southeast2 | Melbourne | 3 | 1 | 5.512 | 3219.81 SUD | 2535.61 | 1811.1 |
| southamerica-west1 | Santiago | 3 | 1 | 5.5551 | 3245.02 SUD | 2554.72 | 1824.99 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 6.1664 | 3602.08 SUD | 2836.84 | 2026.3 |
Operating System Licenses Costs for n2-standard-80
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-standard-80.
| SUSE Linux Enterprise Server | 80.3 |
|---|---|
| Red Hat Enterprise Linux | 94.9 |
| Microsoft Windows Server | 2686.4 |
| SUSE Linux Enterprise Server for SAP | 299.3 |
| SUSE Linux Enterprise Server for SAP w. 1 year CUD | 119.94 |
| SUSE Linux Enterprise Server for SAP w. 3 year CUD | 107.75 |
| Red Hat Enterprise Linux for SAP | 164.25 |
Machine Types with 80 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| m1-ultramem-80 | 80 | +1602.00 | 1922 | Intel SAP HANA | +10.29 | 14.9993 | +4912.63 | 7664.65 SUD | Compare |
| n2-highcpu-80 | 80 | -240.00 | 80 | Intel | -1.23 | 3.4782 | -720.26 | 2031.76 SUD | Compare |
| n2-highmem-80 | 80 | +320.00 | 640 | Intel SAP HANA | +1.64 | 6.3552 | +960.35 | 3712.37 SUD | Compare |
| n2-standard-80 | 80 | 320 | Intel SAP | 4.7112 | 2752.02 SUD | ||||
| n2d-highcpu-80 | 80 | -240.00 | 80 | AMD | -1.80 | 2.9073 | -1053.73 | 1698.29 SUD | Compare |
| n2d-highmem-80 | 80 | +320.00 | 640 | AMD SAP | +0.60 | 5.312 | +350.99 | 3103.01 SUD | Compare |
| n2d-standard-80 | 80 | = | 320 | AMD SAP | -0.77 | 3.9379 | -451.71 | 2300.31 SUD | Compare |