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Google Compute Engine Machine Type n2d-highcpu-4
General-purpose Google Compute Engine machine type n2d-highcpu-4 with 4 vCPU and 4 GB memory. Available in 40 Google Cloud regions.
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Google Cloud VM n2d-highcpu-4
Technical facts about the Google Compute Engine machine type n2d-highcpu-4.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 4 |
| Memory | 4 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 (?) | 80173 |
| EEMBC CoreMark Standard Deviation | 0.93 % |
| EEMBC CoreMark Sample Count | 2352 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 10 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 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 | 4 vCPUs 4 GB RAM |
Costs (Pricing) for n2d-highcpu-4
Cost and pricing across all regions for Google Cloud VM n2d-highcpu-4.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.0823 | 0.1517 | 0.1996 |
| Spot provisioning model (Spot VM) | 0.0148 | 0.0334 | 0.0643 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 48.1 | 88.63 | 116.6 |
| Spot provisioning model (Spot VM) | 10.82 | 24.37 | 46.91 |
| 1 year commitment (CUD) | 37.87 | 69.61 | 91.8 |
| 3 year commitment (CUD) | 27.05 | 49.72 | 65.57 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-4.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 134.32 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 42.05 | 42.05 | 42.05 |
| SUSE Linux Enterprise Server for SAP | 248.2 | 100.01 | 89.42 |
| Red Hat Enterprise Linux for SAP | 65.7 | 65.7 | 65.7 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-highcpu-4 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 | 0.0823 | 0.0322 | 48.1 | 37.87 | 27.05 |
| us-central1 | Iowa 🍃 | 5 | 2 | 0.1248 | 0.0259 | 72.87 | 57.37 | 40.98 |
| us-east1 | South Carolina | 4 | 2 | 0.1248 | 0.0259 | 72.87 | 57.37 | 40.98 |
| us-east5 | Columbus | 3 | 2 | 0.1248 | 0.0175 | 72.87 | 57.37 | 40.98 |
| us-west1 | Oregon 🍃 | 3 | 2 | 0.1248 | 0.0259 | 72.87 | 57.37 | 40.98 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 0.1372 | 0.0436 | 80.16 | 63.11 | 45.08 |
| me-west1 | Tel Aviv | 3 | 2 | 0.1372 | 0.0198 | 80.16 | 63.11 | 45.08 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 0.1373 | 0.0258 | 80.23 | 63.16 | 45.12 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 0.1373 | 0.0494 | 80.23 | 63.16 | 45.11 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 0.1373 | 0.0292 | 80.23 | 63.16 | 45.11 |
| europe-north1 | Finland 🍃 | 3 | 2 | 0.1374 | 0.0284 | 80.24 | 63.16 | 45.12 |
| us-east4 | Northern Virginia | 3 | 2 | 0.1405 | 0.0327 | 82.08 | 61.39 | 43.85 |
| us-west4 | Las Vegas | 3 | 2 | 0.1405 | 0.037 | 82.08 | 61.39 | 43.85 |
| asia-east1 | Taiwan | 3 | 2 | 0.1444 | 0.0578 | 84.38 | 66.43 | 47.45 |
| europe-west8 | Milan | 3 | 2 | 0.1447 | 0.0148 | 84.53 | 66.55 | 47.54 |
| europe-west9 | Paris 🍃 | 3 | 2 | 0.1447 | 0.0339 | 84.53 | 66.55 | 47.54 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 0.1472 | 0.0472 | 85.99 | 67.7 | 48.36 |
| us-south1 | Dallas 🍃 | 3 | 2 | 0.1472 | 0.0285 | 85.99 | 67.7 | 48.36 |
| asia-south2 | Delhi | 3 | 2 | 0.1498 | 0.0294 | 87.53 | 68.9 | 49.22 |
| us-west2 | Los Angeles | 3 | 2 | 0.1498 | 0.0325 | 87.53 | 68.91 | 49.23 |
| us-west3 | Salt Lake City | 3 | 2 | 0.1498 | 0.0324 | 87.53 | 68.91 | 49.23 |
| australia-southeast2 | Melbourne | 3 | 2 | 0.1505 | 0.0494 | 87.9 | 69.23 | 49.45 |
| me-central1 | Doha | 3 | 2 | 0.1516 | 0.0245 | 88.54 | 69.71 | 49.79 |
| asia-southeast1 | Singapore | 3 | 2 | 0.1539 | 0.0274 | 89.9 | 70.77 | 50.55 |
| asia-northeast1 | Tokyo | 3 | 2 | 0.1602 | 0.0464 | 93.59 | 73.68 | 52.63 |
| asia-northeast2 | Osaka | 3 | 2 | 0.1602 | 0.0214 | 93.58 | 73.68 | 52.63 |
| asia-northeast3 | Seoul | 3 | 2 | 0.1602 | 0.0212 | 93.58 | 73.68 | 52.63 |
| europe-central2 | Warsaw | 3 | 2 | 0.1607 | 0.0566 | 93.89 | 73.85 | 52.75 |
| europe-west2 | London 🍃 | 3 | 2 | 0.1607 | 0.0334 | 93.89 | 73.85 | 52.75 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 0.1607 | 0.0643 | 93.89 | 73.85 | 52.75 |
| europe-west12 | Turin | 3 | 2 | 0.1609 | 0.015 | 94.01 | 74.01 | 52.87 |
| africa-south1 | Johannesburg | 3 | 2 | 0.1632 | 0.0403 | 95.32 | 75.04 | 53.6 |
| asia-southeast2 | Jakarta | 3 | 2 | 0.1678 | 0.0351 | 97.99 | 77.14 | 55.1 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 0.1745 | 0.0353 | 101.94 | 80.26 | 57.33 |
| asia-east2 | Hong Kong | 3 | 2 | 0.1746 | 0.0527 | 101.96 | 80.28 | 57.34 |
| australia-southeast1 | Sydney | 3 | 2 | 0.177 | 0.0345 | 103.41 | 81.44 | 58.18 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 0.1784 | 0.0256 | 104.21 | 82.04 | 58.6 |
| europe-west10 | Berlin 🍃 | 3 | 2 | 0.1921 | 0.0225 | 112.23 | 88.35 | 63.11 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 0.198 | 0.037 | 115.68 | 91.1 | 65.07 |
| me-central2 | Dammam | 3 | 2 | 0.1996 | 0.0226 | 116.6 | 91.8 | 65.57 |