If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n2d-highmem-64
General-purpose Google Compute Engine machine type n2d-highmem-64 with 64 vCPU and 512 GB memory. GCE machine type n2d-highmem-64 is certified for SAP applications on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2d-highmem-64 Compare machine type n2d-highmem-64
Google Cloud VM n2d-highmem-64
Technical facts about the Google Compute Engine machine type n2d-highmem-64.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 64 |
| Memory | 512 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 (?) | 1198883 |
| EEMBC CoreMark Standard Deviation | 3.25 % |
| EEMBC CoreMark Sample Count | 160 |
| SAP Standard Benchmark (?) | 101130 |
| 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 | 64 vCPUs 512 GB RAM |
Costs (Pricing) for n2d-highmem-64
Cost and pricing across all regions for Google Cloud VM n2d-highmem-64.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 2.4074 | 4.4356 | 5.8358 |
| Spot provisioning model (Spot VM) | 0.412 | 0.965 | 1.8766 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1406.25 | 2591.04 | 3408.95 |
| Spot provisioning model (Spot VM) | 300.78 | 704.42 | 1369.92 |
| 1 year commitment (CUD) | 1107.22 | 2034.98 | 2683.75 |
| 3 year commitment (CUD) | 790.88 | 1453.61 | 1917.24 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-64.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 2149.12 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 504.58 | 504.58 | 504.58 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 759.2 | 759.2 | 759.2 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-highmem-64 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 | 2.4074 | 0.8183 | 1406.25 | 1107.22 | 790.88 |
| us-central1 | Iowa 🍃 | 5 | 2 | 3.6474 | 0.7566 | 2130.59 | 1677.34 | 1198.27 |
| us-east1 | South Carolina | 4 | 2 | 3.6474 | 0.7566 | 2130.59 | 1677.34 | 1198.27 |
| us-east5 | Columbus | 3 | 2 | 3.6474 | 0.4454 | 2130.59 | 1677.34 | 1198.27 |
| us-west1 | Oregon 🍃 | 3 | 2 | 3.6474 | 0.7566 | 2130.59 | 1677.34 | 1198.27 |
| me-west1 | Tel Aviv | 3 | 2 | 4.0121 | 0.6092 | 2343.65 | 1845.08 | 1318.1 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 4.0124 | 1.274 | 2343.8 | 1845.02 | 1317.78 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 4.0155 | 0.884 | 2345.63 | 1846.51 | 1319.05 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 4.0155 | 1.4456 | 2345.63 | 1846.51 | 1318.63 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 4.0155 | 0.7758 | 2345.63 | 1846.51 | 1318.63 |
| europe-north1 | Finland 🍃 | 3 | 2 | 4.0157 | 0.805 | 2345.74 | 1846.51 | 1319.05 |
| us-east4 | Northern Virginia | 3 | 2 | 4.1078 | 1.0952 | 2399.54 | 1794.94 | 1282.09 |
| us-west4 | Las Vegas | 3 | 2 | 4.1078 | 1.1379 | 2399.54 | 1794.94 | 1282.09 |
| asia-east1 | Taiwan | 3 | 2 | 4.2232 | 1.6893 | 2466.98 | 1942.29 | 1387.49 |
| europe-west8 | Milan | 3 | 2 | 4.2309 | 0.412 | 2471.49 | 1945.72 | 1390 |
| europe-west9 | Paris 🍃 | 3 | 2 | 4.2309 | 0.9912 | 2471.49 | 1945.72 | 1390 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 4.3039 | 1.2567 | 2514.1 | 1979.26 | 1413.96 |
| us-south1 | Dallas 🍃 | 2 | 2 | 4.3039 | 0.7241 | 2514.1 | 1979.26 | 1413.96 |
| asia-south2 | Delhi | 3 | 2 | 4.3808 | 0.9571 | 2559.03 | 2014.24 | 1438.98 |
| us-west2 | Los Angeles | 3 | 2 | 4.3808 | 1.0194 | 2559.03 | 2014.71 | 1439.07 |
| us-west3 | Salt Lake City | 3 | 2 | 4.3808 | 0.949 | 2559.03 | 2014.71 | 1439.07 |
| australia-southeast2 | Melbourne | 2 | 2 | 4.3993 | 1.3748 | 2569.83 | 2023.35 | 1444.91 |
| me-central1 | Doha | 3 | 2 | 4.4315 | 0.8444 | 2588.67 | 2037.97 | 1455.9 |
| asia-southeast1 | Singapore | 3 | 2 | 4.4995 | 0.8003 | 2628.38 | 2069 | 1477.99 |
| asia-northeast1 | Tokyo | 3 | 2 | 4.6757 | 1.2307 | 2731.3 | 2150.15 | 1535.69 |
| asia-northeast2 | Osaka | 3 | 2 | 4.6842 | 0.6257 | 2736.23 | 2154.07 | 1538.63 |
| asia-northeast3 | Seoul | 3 | 2 | 4.6842 | 0.654 | 2736.23 | 2154.07 | 1538.63 |
| europe-central2 | Warsaw | 3 | 2 | 4.6988 | 1.4385 | 2744.79 | 2158.79 | 1541.9 |
| europe-west2 | London 🍃 | 3 | 2 | 4.6988 | 1.1487 | 2744.79 | 2158.79 | 1541.9 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 4.6988 | 1.8766 | 2744.79 | 2158.79 | 1541.9 |
| europe-west12 | Turin | 3 | 2 | 4.7051 | 0.4385 | 2748.46 | 2163.77 | 1545.77 |
| africa-south1 | Johannesburg | 3 | 2 | 4.7707 | 1.0257 | 2786.81 | 2193.96 | 1567.34 |
| asia-southeast2 | Jakarta | 3 | 2 | 4.9045 | 0.8904 | 2864.93 | 2255.2 | 1611.01 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 5.1021 | 1.147 | 2980.4 | 2346.33 | 1676.36 |
| asia-east2 | Hong Kong | 3 | 2 | 5.1032 | 1.3983 | 2981 | 2346.98 | 1676.13 |
| australia-southeast1 | Sydney | 3 | 2 | 5.1754 | 1.0616 | 3023.17 | 2380.38 | 1700 |
| southamerica-west1 | Santiago 🍃 | 2 | 2 | 5.2157 | 0.6817 | 3046.74 | 2398.6 | 1713.53 |
| europe-west10 | Berlin 🍃 | 3 | 2 | 5.6169 | 0.6584 | 3281.11 | 2583.11 | 1845.34 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 5.7898 | 1.0834 | 3382.07 | 2663.65 | 1902.49 |
| me-central2 | Dammam | 3 | 2 | 5.8358 | 0.6607 | 3408.95 | 2683.75 | 1917.24 |