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Google Compute Engine Machine Type n2d-highcpu-8
General-purpose Google Compute Engine machine type n2d-highcpu-8 with 8 vCPU and 8 GB memory. Available in 40 Google Cloud regions.
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Google Cloud VM n2d-highcpu-8
Technical facts about the Google Compute Engine machine type n2d-highcpu-8.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 8 |
| Memory | 8 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 (?) | 163935 |
| EEMBC CoreMark Standard Deviation | 0.83 % |
| EEMBC CoreMark Sample Count | 1192 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 16 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 | 8 vCPUs 8 GB RAM |
Costs (Pricing) for n2d-highcpu-8
Cost and pricing across all regions for Google Cloud VM n2d-highcpu-8.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.1647 | 0.3008 | 0.3992 |
| Spot provisioning model (Spot VM) | 0.03 | 0.0705 | 0.1285 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 96.19 | 175.73 | 233.19 |
| Spot provisioning model (Spot VM) | 21.86 | 51.43 | 93.81 |
| 1 year commitment (CUD) | 75.73 | 138.02 | 183.59 |
| 3 year commitment (CUD) | 54.1 | 98.59 | 131.14 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-8.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 268.64 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 84.1 | 84.1 | 84.1 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 131.4 | 131.4 | 131.4 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-highcpu-8 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 | 0.1647 | 0.0659 | 96.19 | 75.73 | 54.1 |
| us-central1 | Iowa 🍃 | 5 | 2 | 0.2495 | 0.0518 | 145.75 | 114.74 | 81.96 |
| us-east1 | South Carolina | 4 | 2 | 0.2495 | 0.0518 | 145.75 | 114.74 | 81.96 |
| us-east5 | Columbus | 3 | 2 | 0.2495 | 0.0396 | 145.75 | 114.74 | 81.96 |
| us-west1 | Oregon 🍃 | 3 | 2 | 0.2495 | 0.0518 | 145.75 | 114.74 | 81.96 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 0.2745 | 0.0872 | 160.33 | 126.22 | 90.16 |
| me-west1 | Tel Aviv | 3 | 2 | 0.2745 | 0.0432 | 160.32 | 126.22 | 90.16 |
| europe-north1 | Finland 🍃 | 3 | 2 | 0.2747 | 0.053 | 160.47 | 126.33 | 90.23 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 0.2747 | 0.0561 | 160.46 | 126.33 | 90.23 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 0.2747 | 0.0989 | 160.46 | 126.33 | 90.22 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 0.2747 | 0.0629 | 160.46 | 126.33 | 90.22 |
| us-east4 | Northern Virginia | 3 | 2 | 0.281 | 0.0826 | 164.15 | 122.78 | 87.7 |
| us-west4 | Las Vegas | 3 | 2 | 0.281 | 0.0589 | 164.15 | 122.78 | 87.7 |
| asia-east1 | Taiwan | 3 | 2 | 0.2889 | 0.1156 | 168.76 | 132.86 | 94.91 |
| europe-west8 | Milan | 3 | 2 | 0.2894 | 0.0306 | 169.07 | 133.1 | 95.08 |
| europe-west9 | Paris 🍃 | 3 | 2 | 0.2894 | 0.0678 | 169.07 | 133.1 | 95.08 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 0.2944 | 0.1178 | 171.98 | 135.4 | 96.72 |
| us-south1 | Dallas 🍃 | 3 | 2 | 0.2944 | 0.0409 | 171.98 | 135.4 | 96.72 |
| asia-south2 | Delhi | 3 | 2 | 0.2997 | 0.0858 | 175.06 | 137.81 | 98.44 |
| us-west2 | Los Angeles | 3 | 2 | 0.2997 | 0.0906 | 175.06 | 137.82 | 98.45 |
| us-west3 | Salt Lake City | 3 | 2 | 0.2997 | 0.0648 | 175.06 | 137.82 | 98.45 |
| australia-southeast2 | Melbourne | 3 | 2 | 0.3009 | 0.1019 | 175.79 | 138.45 | 98.89 |
| europe-central2 | Warsaw | 3 | 2 | 0.3019 | 0.1207 | 176.35 | 138.85 | 99.17 |
| me-central1 | Doha | 3 | 2 | 0.3031 | 0.0709 | 177.08 | 139.41 | 99.59 |
| asia-southeast1 | Singapore | 3 | 2 | 0.3078 | 0.0548 | 179.8 | 141.54 | 101.11 |
| asia-northeast1 | Tokyo | 3 | 2 | 0.3204 | 0.1048 | 187.17 | 147.35 | 105.25 |
| asia-northeast2 | Osaka | 3 | 2 | 0.3204 | 0.0428 | 187.17 | 147.35 | 105.25 |
| asia-northeast3 | Seoul | 3 | 2 | 0.3204 | 0.0392 | 187.17 | 147.35 | 105.25 |
| europe-west10 | Berlin 🍃 | 3 | 2 | 0.3215 | 0.045 | 187.79 | 147.7 | 105.5 |
| europe-west2 | London 🍃 | 3 | 2 | 0.3215 | 0.0888 | 187.78 | 147.7 | 105.5 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 0.3215 | 0.1285 | 187.78 | 147.7 | 105.5 |
| europe-west12 | Turin | 3 | 2 | 0.3219 | 0.03 | 188.01 | 148.02 | 105.73 |
| africa-south1 | Johannesburg | 3 | 2 | 0.3264 | 0.0869 | 190.64 | 150.09 | 107.21 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 0.3268 | 0.0761 | 190.92 | 150.32 | 107.37 |
| asia-southeast2 | Jakarta | 3 | 2 | 0.3355 | 0.0764 | 195.99 | 154.28 | 110.21 |
| asia-east2 | Hong Kong | 3 | 2 | 0.3491 | 0.076 | 203.93 | 160.55 | 114.67 |
| australia-southeast1 | Sydney | 3 | 2 | 0.354 | 0.0911 | 206.81 | 162.89 | 116.35 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 0.3568 | 0.0477 | 208.42 | 164.08 | 117.21 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 0.3961 | 0.074 | 231.36 | 182.19 | 130.13 |
| me-central2 | Dammam | 3 | 2 | 0.3992 | 0.0452 | 233.19 | 183.59 | 131.14 |