If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n2d-highmem-32
General-purpose Google Compute Engine machine type n2d-highmem-32 with 32 vCPU and 256 GB memory. GCE machine type n2d-highmem-32 is certified for SAP applications on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2d-highmem-32 Compare machine type n2d-highmem-32
Google Cloud VM n2d-highmem-32
Technical facts about the Google Compute Engine machine type n2d-highmem-32.
| Series | N2D |
|---|---|
| Family | General-purpose |
| vCPU | 32 |
| Memory | 256 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 (?) | 652572 |
| EEMBC CoreMark Standard Deviation | 1.59 % |
| EEMBC CoreMark Sample Count | 312 |
| SAP Standard Benchmark (?) | 50565 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| 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 | 32 vCPUs 256 GB RAM |
Costs (Pricing) for n2d-highmem-32
Cost and pricing across all regions for Google Cloud VM n2d-highmem-32.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 1.2037 | 2.1987 | 2.9179 |
| Spot provisioning model (Spot VM) | 0.2193 | 0.5202 | 0.9386 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 703.12 | 1284.37 | 1704.47 |
| Spot provisioning model (Spot VM) | 160.06 | 379.72 | 685.15 |
| 1 year commitment (CUD) | 553.61 | 1008.71 | 1341.87 |
| 3 year commitment (CUD) | 395.44 | 720.53 | 958.62 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highmem-32.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1074.56 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 252.29 | 252.29 | 252.29 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 379.6 | 379.6 | 379.6 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2d-highmem-32 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 | 1.2037 | 0.4812 | 703.12 | 553.61 | 395.44 |
| us-central1 | Iowa 🍃 | 5 | 2 | 1.8237 | 0.3783 | 1065.3 | 838.67 | 599.14 |
| us-east1 | South Carolina | 4 | 2 | 1.8237 | 0.3783 | 1065.3 | 838.67 | 599.14 |
| us-east5 | Columbus | 3 | 2 | 1.8237 | 0.2627 | 1065.3 | 838.67 | 599.14 |
| us-west1 | Oregon 🍃 | 3 | 2 | 1.8237 | 0.3783 | 1065.3 | 838.67 | 599.14 |
| me-west1 | Tel Aviv | 3 | 2 | 2.006 | 0.3508 | 1171.82 | 922.54 | 659.05 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 2.0062 | 0.637 | 1171.9 | 922.51 | 658.89 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 2.0077 | 0.4355 | 1172.82 | 923.26 | 659.52 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 2.0077 | 0.7228 | 1172.82 | 923.26 | 659.31 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 2.0077 | 0.4378 | 1172.82 | 923.26 | 659.31 |
| europe-north1 | Finland 🍃 | 3 | 2 | 2.0078 | 0.4638 | 1172.87 | 923.26 | 659.52 |
| us-east4 | Northern Virginia | 3 | 2 | 2.0539 | 0.5964 | 1199.77 | 897.47 | 641.05 |
| us-west4 | Las Vegas | 3 | 2 | 2.0539 | 0.5066 | 1199.77 | 897.47 | 641.05 |
| asia-east1 | Taiwan | 3 | 2 | 2.1116 | 0.8447 | 1233.49 | 971.15 | 693.75 |
| europe-west8 | Milan | 3 | 2 | 2.1155 | 0.2627 | 1235.74 | 972.86 | 695 |
| europe-west9 | Paris 🍃 | 3 | 2 | 2.1155 | 0.4956 | 1235.74 | 972.86 | 695 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 2.1519 | 0.8383 | 1257.05 | 989.63 | 706.98 |
| us-south1 | Dallas 🍃 | 3 | 2 | 2.1519 | 0.3156 | 1257.05 | 989.63 | 706.98 |
| asia-south2 | Delhi | 3 | 2 | 2.1904 | 0.5459 | 1279.51 | 1007.12 | 719.49 |
| us-west2 | Los Angeles | 3 | 2 | 2.1904 | 0.6434 | 1279.51 | 1007.35 | 719.53 |
| us-west3 | Salt Lake City | 3 | 2 | 2.1904 | 0.4745 | 1279.51 | 1007.35 | 719.53 |
| australia-southeast2 | Melbourne | 3 | 2 | 2.1996 | 0.7087 | 1284.92 | 1011.67 | 722.45 |
| europe-central2 | Warsaw | 3 | 2 | 2.2066 | 0.9386 | 1288.99 | 1014.88 | 724.88 |
| me-central1 | Doha | 3 | 2 | 2.2158 | 0.4508 | 1294.33 | 1018.98 | 727.95 |
| asia-southeast1 | Singapore | 3 | 2 | 2.2498 | 0.4001 | 1314.19 | 1034.5 | 738.99 |
| asia-northeast1 | Tokyo | 3 | 2 | 2.3379 | 0.6644 | 1365.65 | 1075.07 | 767.84 |
| asia-northeast2 | Osaka | 3 | 2 | 2.3421 | 0.3128 | 1368.12 | 1077.04 | 769.31 |
| asia-northeast3 | Seoul | 3 | 2 | 2.3421 | 0.3187 | 1368.12 | 1077.04 | 769.31 |
| europe-west10 | Berlin 🍃 | 3 | 2 | 2.3494 | 0.3292 | 1372.4 | 1079.41 | 770.97 |
| europe-west2 | London 🍃 | 3 | 2 | 2.3494 | 0.6188 | 1372.4 | 1079.4 | 770.95 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 2.3494 | 0.9383 | 1372.4 | 1079.4 | 770.95 |
| europe-west12 | Turin | 3 | 2 | 2.3525 | 0.2193 | 1374.23 | 1081.89 | 772.89 |
| africa-south1 | Johannesburg | 3 | 2 | 2.3854 | 0.748 | 1393.41 | 1096.98 | 783.67 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 2.3891 | 0.6543 | 1395.56 | 1098.71 | 784.8 |
| asia-southeast2 | Jakarta | 3 | 2 | 2.4522 | 0.5869 | 1432.47 | 1127.6 | 805.5 |
| asia-east2 | Hong Kong | 3 | 2 | 2.5516 | 0.528 | 1490.5 | 1173.49 | 838.06 |
| australia-southeast1 | Sydney | 3 | 2 | 2.5877 | 0.7 | 1511.58 | 1190.19 | 850 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 2.6079 | 0.3675 | 1523.37 | 1199.3 | 856.77 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 2.8949 | 0.5417 | 1691.03 | 1331.82 | 951.24 |
| me-central2 | Dammam | 3 | 2 | 2.9179 | 0.3304 | 1704.47 | 1341.87 | 958.62 |