If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n2d-highmem-80
General-purpose Google Compute Engine machine type n2d-highmem-80 with 80 vCPU and 640 GB memory. GCE machine type n2d-highmem-80 is certified for SAP applications on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2d-highmem-80 Compare machine type n2d-highmem-80
Google Cloud VM n2d-highmem-80
Technical facts about the Google Compute Engine machine type n2d-highmem-80.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 80 |
| Memory | 640 GB |
| CPU Manufactur | AMD |
| CPU Platform |
|
| CPU Base Frequency | 2.45 GHz |
| CPU Turbo Frequency | 2.8 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 1567766 |
| EEMBC CoreMark Standard Deviation | 2.32 % |
| EEMBC CoreMark Sample Count | 532 |
| SAP Standard Benchmark (?) | 121108 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 512 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 640 GB RAM |
Costs (Pricing) for n2d-highmem-80
Cost and pricing across all regions for Google Cloud VM n2d-highmem-80.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 3.0092 | 5.5688 | 7.2947 |
| Spot provisioning model (Spot VM) | 0.5723 | 1.157 | 2.1234 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1757.81 | 3252.97 | 4261.18 |
| Spot provisioning model (Spot VM) | 417.79 | 844.64 | 1550.05 |
| 1 year commitment (CUD) | 1384.02 | 2554.88 | 3354.68 |
| 3 year commitment (CUD) | 988.6 | 1824.99 | 2396.55 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-80.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 2686.4 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 94.9 | 75.92 | 72.27 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 164.25 | 131.4 | 124.83 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-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 59%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| asia-south1 | Mumbai | 3 | 2 | 3.0092 | 1.1603 | 1757.81 | 1384.02 | 988.6 |
| us-central1 | Iowa 🍃 | 5 | 2 | 4.5592 | 0.8246 | 2663.24 | 2096.68 | 1497.84 |
| us-east1 | South Carolina | 4 | 2 | 4.5592 | 0.8246 | 2663.24 | 2096.68 | 1497.84 |
| us-east5 | Columbus | 3 | 2 | 4.5592 | 0.6552 | 2663.24 | 2096.68 | 1497.84 |
| us-west1 | Oregon 🍃 | 3 | 2 | 4.5592 | 0.8246 | 2663.24 | 2096.68 | 1497.84 |
| me-west1 | Tel Aviv | 3 | 2 | 5.0151 | 0.9584 | 2929.56 | 2306.34 | 1647.63 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 5.0154 | 1.385 | 2929.75 | 2306.27 | 1647.23 |
| europe-west4 | Netherlands | 3 | 2 | 5.0194 | 0.6552 | 2932.04 | 2308.14 | 1648.81 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 5.0194 | 1.7064 | 2932.04 | 2308.14 | 1648.28 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 5.0194 | 1.0923 | 2932.04 | 2308.14 | 1648.28 |
| europe-north1 | Finland 🍃 | 3 | 2 | 5.0196 | 0.78 | 2932.18 | 2308.14 | 1648.81 |
| us-east4 | Northern Virginia | 3 | 2 | 5.1347 | 1.1298 | 2999.43 | 2243.67 | 1602.61 |
| us-west4 | Las Vegas | 3 | 2 | 5.1347 | 1.1802 | 2999.43 | 2243.67 | 1602.61 |
| asia-east1 | Taiwan | 3 | 2 | 5.279 | 1.9331 | 3083.73 | 2427.86 | 1734.36 |
| europe-west8 | Milan | 3 | 2 | 5.2887 | 0.7205 | 3089.36 | 2432.15 | 1737.5 |
| europe-west9 | Paris 🍃 | 3 | 2 | 5.2887 | 1.1824 | 3089.36 | 2432.15 | 1737.5 |
| europe-southwest1 | Madrid | 3 | 2 | 5.3799 | 1.0518 | 3142.62 | 2474.08 | 1767.45 |
| us-south1 | Dallas | 1 | 2 | 5.3799 | 0.8117 | 3142.62 | 2474.08 | 1767.45 |
| asia-south2 | Delhi | 3 | 2 | 5.476 | 0.935 | 3198.78 | 2517.8 | 1798.72 |
| us-west2 | Los Angeles | 3 | 2 | 5.476 | 1.2397 | 3198.78 | 2518.38 | 1798.84 |
| us-west3 | Salt Lake City | 3 | 2 | 5.476 | 1.3275 | 3198.78 | 2518.38 | 1798.84 |
| me-central1 | Doha | 2 | 2 | 5.5394 | 0.7098 | 3235.83 | 2547.46 | 1819.88 |
| asia-southeast1 | Singapore | 3 | 2 | 5.6244 | 1.3843 | 3285.47 | 2586.24 | 1847.48 |
| asia-northeast1 | Tokyo | 3 | 2 | 5.8446 | 1.228 | 3414.12 | 2687.68 | 1919.61 |
| asia-northeast2 | Osaka | 3 | 2 | 5.8552 | 0.6659 | 3420.29 | 2692.59 | 1923.29 |
| asia-northeast3 | Seoul | 3 | 2 | 5.8552 | 1.1512 | 3420.29 | 2692.59 | 1923.29 |
| europe-central2 | Warsaw | 3 | 2 | 5.8735 | 1.7555 | 3430.99 | 2698.49 | 1927.38 |
| europe-west2 | London 🍃 | 3 | 2 | 5.8735 | 1.0944 | 3430.99 | 2698.49 | 1927.38 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 5.8735 | 2.1234 | 3430.99 | 2698.49 | 1927.38 |
| europe-west12 | Turin | 3 | 2 | 5.8814 | 0.5723 | 3435.58 | 2704.71 | 1932.22 |
| africa-south1 | Johannesburg | 3 | 2 | 5.9634 | 0.8995 | 3483.52 | 2742.45 | 1959.18 |
| asia-southeast2 | Jakarta | 3 | 2 | 6.1306 | 1.171 | 3581.16 | 2819.01 | 2013.76 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 6.3777 | 1.5435 | 3725.5 | 2932.91 | 2095.45 |
| asia-east2 | Hong Kong | 3 | 2 | 6.379 | 1.3546 | 3726.24 | 2933.72 | 2095.16 |
| australia-southeast1 | Sydney | 3 | 2 | 6.4692 | 1.789 | 3778.96 | 2975.48 | 2125 |
| australia-southeast2 | Melbourne | 2 | 2 | 6.4692 | 1.5667 | 3778.96 | 2975.48 | 2125 |
| southamerica-west1 | Santiago 🍃 | 1 | 2 | 6.5197 | 1.5777 | 3808.43 | 2998.25 | 2141.92 |
| europe-west10 | Berlin | 3 | 2 | 7.0212 | 1.0349 | 4101.39 | 3228.88 | 2306.68 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 7.2372 | 1.4867 | 4227.58 | 3329.56 | 2378.11 |
| me-central2 | Dammam | 3 | 2 | 7.2947 | 0.7947 | 4261.18 | 3354.68 | 2396.55 |