Google Compute Engine Machine Type n2d-highmem-48
General-purpose Google Compute Engine machine type n2d-highmem-48 with 48 vCPU and 384 GB memory. GCE machine type n2d-highmem-48 is certified for SAP applications on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2d-highmem-48 Compare machine type n2d-highmem-48
Google Cloud VM n2d-highmem-48
Technical facts about the Google Compute Engine machine type n2d-highmem-48.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 48 |
| Memory | 384 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 (?) | 975016 |
| EEMBC CoreMark Standard Deviation | 2.19 % |
| EEMBC CoreMark Sample Count | 216 |
| SAP Standard Benchmark (?) | 75848 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ Optional |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 48 vCPUs 384 GB RAM |
Costs (Pricing) for n2d-highmem-48
Cost and pricing across all regions for Google Cloud VM n2d-highmem-48.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 1.8055 | 3.2838 | 4.3768 |
| Spot provisioning model (Spot VM) | 0.4442 | 1.0251 | 2.0291 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1054.69 | 1918.24 | 2556.71 |
| Spot provisioning model (Spot VM) | 324.26 | 748.3 | 1481.21 |
| 1 year commitment (CUD) | 830.41 | 1506.53 | 2012.81 |
| 3 year commitment (CUD) | 593.16 | 1076.11 | 1437.93 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-48.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1611.84 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 378.43 | 378.43 | 378.43 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 569.4 | 569.4 | 569.4 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-highmem-48 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 | 1.8055 | 0.8981 | 1054.69 | 830.41 | 593.16 |
| us-central1 | Iowa 🍃 | 4 | 2 | 2.7355 | 0.72 | 1597.94 | 1258.01 | 898.71 |
| us-east1 | South Carolina | 3 | 2 | 2.7355 | 0.72 | 1597.94 | 1258.01 | 898.71 |
| us-east5 | Columbus | 3 | 2 | 2.7355 | 0.6074 | 1597.94 | 1258.01 | 898.71 |
| us-west1 | Oregon 🍃 | 3 | 2 | 2.7355 | 0.72 | 1597.94 | 1258.01 | 898.71 |
| me-west1 | Tel Aviv | 3 | 2 | 3.0091 | 0.5878 | 1757.74 | 1383.81 | 988.58 |
| africa-south1 | Johannesburg | 3 | 2 | 3.0093 | 1.3231 | 1757.85 | 1383.76 | 988.34 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 3.0093 | 1.1875 | 1757.85 | 1383.76 | 988.34 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 3.0116 | 0.9585 | 1759.22 | 1384.89 | 989.28 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 3.0116 | 1.5598 | 1759.22 | 1384.89 | 988.97 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 3.0116 | 1.108 | 1759.22 | 1384.89 | 988.97 |
| europe-north1 | Finland 🍃 | 3 | 2 | 3.0118 | 0.9257 | 1759.31 | 1384.89 | 989.28 |
| us-east4 | Northern Virginia | 3 | 2 | 3.0808 | 1.4957 | 1799.66 | 1346.2 | 961.57 |
| us-west4 | Las Vegas | 3 | 2 | 3.0808 | 0.6941 | 1799.66 | 1346.2 | 961.57 |
| asia-east1 | Taiwan | 3 | 2 | 3.1674 | 1.6614 | 1850.24 | 1456.72 | 1040.62 |
| europe-west8 | Milan | 3 | 2 | 3.1732 | 0.5355 | 1853.61 | 1459.29 | 1042.5 |
| europe-west9 | Paris 🍃 | 3 | 2 | 3.1732 | 0.8148 | 1853.61 | 1459.29 | 1042.5 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 3.2279 | 1.8646 | 1885.57 | 1484.45 | 1060.47 |
| us-south1 | Dallas 🍃 | 3 | 2 | 3.2279 | 0.8407 | 1885.57 | 1484.45 | 1060.47 |
| asia-south2 | Delhi | 3 | 2 | 3.2856 | 1.6474 | 1919.27 | 1510.68 | 1079.23 |
| us-west2 | Los Angeles | 3 | 2 | 3.2856 | 1.3758 | 1919.27 | 1511.03 | 1079.3 |
| us-west3 | Salt Lake City | 3 | 2 | 3.2856 | 0.8624 | 1919.27 | 1511.03 | 1079.3 |
| australia-southeast2 | Melbourne | 3 | 2 | 3.2995 | 0.7501 | 1927.37 | 1517.51 | 1083.68 |
| europe-central2 | Warsaw | 3 | 2 | 3.3099 | 1.8284 | 1933.49 | 1522.31 | 1087.33 |
| me-central1 | Doha | 3 | 2 | 3.3237 | 0.8653 | 1941.5 | 1528.48 | 1091.93 |
| asia-southeast1 | Singapore | 3 | 2 | 3.3746 | 0.63 | 1971.28 | 1551.75 | 1108.49 |
| asia-northeast1 | Tokyo | 3 | 2 | 3.5068 | 1.3438 | 2048.47 | 1612.61 | 1151.76 |
| asia-northeast2 | Osaka | 3 | 2 | 3.5131 | 0.5143 | 2052.17 | 1615.55 | 1153.97 |
| asia-northeast3 | Seoul | 3 | 2 | 3.5131 | 0.5938 | 2052.17 | 1615.55 | 1153.97 |
| europe-west10 | Berlin | 3 | 2 | 3.5241 | 0.4442 | 2058.6 | 1619.11 | 1156.46 |
| europe-west2 | London 🍃 | 3 | 2 | 3.5241 | 1.343 | 2058.6 | 1619.09 | 1156.43 |
| europe-west3 | Frankfurt | 3 | 2 | 3.5241 | 2.0291 | 2058.6 | 1619.09 | 1156.43 |
| europe-west12 | Turin | 3 | 2 | 3.5288 | 0.5169 | 2061.35 | 1622.83 | 1159.33 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 3.5836 | 1.2802 | 2093.34 | 1648.07 | 1177.2 |
| asia-southeast2 | Jakarta | 3 | 2 | 3.6784 | 0.9389 | 2148.7 | 1691.4 | 1208.25 |
| asia-east2 | Hong Kong | 3 | 2 | 3.8274 | 1.1488 | 2235.75 | 1760.23 | 1257.1 |
| australia-southeast1 | Sydney | 3 | 2 | 3.8815 | 1.5279 | 2267.37 | 1785.29 | 1275 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 3.9118 | 0.6337 | 2285.06 | 1798.95 | 1285.15 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 4.3423 | 0.8904 | 2536.55 | 1997.74 | 1426.86 |
| me-central2 | Dammam | 3 | 2 | 4.3768 | 0.6158 | 2556.71 | 2012.81 | 1437.93 |