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Google Compute Engine Machine Type n2d-highcpu-16
General-purpose Google Compute Engine machine type n2d-highcpu-16 with 16 vCPU and 16 GB memory. Available in 40 Google Cloud regions.
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Google Cloud VM n2d-highcpu-16
Technical facts about the Google Compute Engine machine type n2d-highcpu-16.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 16 |
| Memory | 16 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 (?) | 304014 |
| EEMBC CoreMark Standard Deviation | 2.62 % |
| EEMBC CoreMark Sample Count | 1940 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 16 vCPUs 16 GB RAM |
Costs (Pricing) for n2d-highcpu-16
Cost and pricing across all regions for Google Cloud VM n2d-highcpu-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.3293 | 0.6095 | 0.7984 |
| Spot provisioning model (Spot VM) | 0.0626 | 0.1264 | 0.2327 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 192.38 | 356.06 | 466.39 |
| Spot provisioning model (Spot VM) | 45.7 | 92.28 | 169.87 |
| 1 year commitment (CUD) | 151.47 | 279.66 | 367.18 |
| 3 year commitment (CUD) | 108.19 | 199.76 | 262.29 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-16.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 537.28 | ||
| 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-highcpu-16 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 | 0.3293 | 0.127 | 192.38 | 151.47 | 108.19 |
| us-central1 | Iowa 🍃 | 5 | 2 | 0.499 | 0.0903 | 291.49 | 229.49 | 163.93 |
| us-east1 | South Carolina | 4 | 2 | 0.499 | 0.0903 | 291.49 | 229.49 | 163.93 |
| us-east5 | Columbus | 3 | 2 | 0.499 | 0.0717 | 291.49 | 229.49 | 163.93 |
| us-west1 | Oregon 🍃 | 3 | 2 | 0.499 | 0.0903 | 291.49 | 229.49 | 163.93 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 0.5489 | 0.1517 | 320.65 | 252.44 | 180.32 |
| me-west1 | Tel Aviv | 3 | 2 | 0.5489 | 0.1049 | 320.64 | 252.44 | 180.32 |
| europe-north1 | Finland 🍃 | 3 | 2 | 0.5494 | 0.0854 | 320.94 | 252.65 | 180.47 |
| europe-west4 | Netherlands | 3 | 2 | 0.5494 | 0.0644 | 320.92 | 252.65 | 180.47 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 0.5494 | 0.1867 | 320.92 | 252.65 | 180.44 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 0.5494 | 0.1196 | 320.92 | 252.65 | 180.44 |
| us-east4 | Northern Virginia | 3 | 2 | 0.562 | 0.1236 | 328.31 | 245.56 | 175.4 |
| us-west4 | Las Vegas | 3 | 2 | 0.562 | 0.1292 | 328.31 | 245.56 | 175.4 |
| asia-east1 | Taiwan | 3 | 2 | 0.5778 | 0.2116 | 337.51 | 265.72 | 189.81 |
| europe-west8 | Milan | 3 | 2 | 0.5788 | 0.0789 | 338.13 | 266.21 | 190.16 |
| europe-west9 | Paris 🍃 | 3 | 2 | 0.5788 | 0.1295 | 338.13 | 266.21 | 190.16 |
| europe-southwest1 | Madrid | 3 | 2 | 0.5888 | 0.1151 | 343.96 | 270.8 | 193.44 |
| us-south1 | Dallas | 1 | 2 | 0.5888 | 0.0888 | 343.96 | 270.8 | 193.44 |
| asia-south2 | Delhi | 3 | 2 | 0.5994 | 0.1023 | 350.12 | 275.61 | 196.88 |
| us-west2 | Los Angeles | 3 | 2 | 0.5994 | 0.1329 | 350.12 | 275.65 | 196.9 |
| us-west3 | Salt Lake City | 3 | 2 | 0.5994 | 0.145 | 350.12 | 275.65 | 196.9 |
| me-central1 | Doha | 2 | 2 | 0.6063 | 0.0777 | 354.16 | 278.83 | 199.17 |
| asia-southeast1 | Singapore | 3 | 2 | 0.6156 | 0.1516 | 359.61 | 283.09 | 202.22 |
| asia-northeast1 | Tokyo | 3 | 2 | 0.6408 | 0.1347 | 374.35 | 294.71 | 210.51 |
| asia-northeast2 | Osaka | 3 | 2 | 0.6408 | 0.0729 | 374.34 | 294.71 | 210.51 |
| asia-northeast3 | Seoul | 3 | 2 | 0.6408 | 0.1261 | 374.34 | 294.71 | 210.51 |
| europe-central2 | Warsaw | 3 | 2 | 0.6429 | 0.1923 | 375.56 | 295.4 | 211 |
| europe-west2 | London 🍃 | 3 | 2 | 0.6429 | 0.1198 | 375.56 | 295.4 | 211 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 0.6429 | 0.2327 | 375.56 | 295.4 | 211 |
| europe-west12 | Turin | 3 | 2 | 0.6437 | 0.0626 | 376.03 | 296.04 | 211.47 |
| africa-south1 | Johannesburg | 3 | 2 | 0.6527 | 0.0984 | 381.27 | 300.17 | 214.42 |
| asia-southeast2 | Jakarta | 3 | 2 | 0.671 | 0.1283 | 391.97 | 308.57 | 220.42 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 0.6981 | 0.1689 | 407.77 | 321.02 | 229.33 |
| asia-east2 | Hong Kong | 3 | 2 | 0.6982 | 0.1484 | 407.86 | 321.11 | 229.35 |
| australia-southeast1 | Sydney | 3 | 2 | 0.7081 | 0.1961 | 413.62 | 325.78 | 232.7 |
| australia-southeast2 | Melbourne | 2 | 2 | 0.7081 | 0.1715 | 413.62 | 325.78 | 232.7 |
| southamerica-west1 | Santiago 🍃 | 1 | 2 | 0.7136 | 0.1727 | 416.84 | 328.17 | 234.42 |
| europe-west10 | Berlin | 3 | 2 | 0.7685 | 0.1132 | 448.9 | 353.41 | 252.45 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 0.7921 | 0.1626 | 462.72 | 364.38 | 260.27 |
| me-central2 | Dammam | 3 | 2 | 0.7984 | 0.0869 | 466.39 | 367.18 | 262.29 |