Google Compute Engine Machine Type n2-highmem-32
General-purpose Google Compute Engine machine type n2-highmem-32 with 32 vCPU and 256 GB memory. GCE machine type n2-highmem-32 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2-highmem-32 Compare machine type n2-highmem-32
Google Cloud VM n2-highmem-32
Technical facts about the Google Compute Engine machine type n2-highmem-32.
| Series | N2 |
|---|---|
| Family | General-purpose |
| vCPU | 32 |
| Memory | 256 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.6 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 550448 |
| EEMBC CoreMark Standard Deviation | 1.23 % |
| EEMBC CoreMark Sample Count | 320 |
| SAP Standard Benchmark (?) | 57185 |
| 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 | ✔️ Certified for SAP HANA |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 32 vCPUs 256 GB RAM |
Costs (Pricing) for n2-highmem-32
Cost and pricing across all regions for Google Cloud VM n2-highmem-32.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 2.0962 | 2.5447 | 3.354 |
| Spot provisioning model (Spot VM) | 0.2176 | 0.8036 | 1.5417 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1224.5 | 1486.48 | 1959.2 |
| Spot provisioning model (Spot VM) | 158.85 | 586.61 | 1125.44 |
| 1 year commitment (CUD) | 964 | 1167.48 | 1542.4 |
| 3 year commitment (CUD) | 688.68 | 833.96 | 1101.88 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-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 n2-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 38%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 2 | 2.0962 | 1.2031 | 1224.5 | 964 | 688.68 |
| us-east1 | South Carolina | 3 | 2 | 2.0962 | 1.2031 | 1224.5 | 964 | 688.68 |
| us-east5 | Columbus | 3 | 2 | 2.0962 | 1.0388 | 1224.5 | 964 | 688.68 |
| us-west1 | Oregon 🍃 | 3 | 2 | 2.0962 | 1.2031 | 1224.5 | 964 | 688.68 |
| me-west1 | Tel Aviv | 3 | 2 | 2.3058 | 1.0841 | 1346.95 | 1060.4 | 757.54 |
| africa-south1 | Johannesburg | 3 | 2 | 2.306 | 0.6659 | 1347.01 | 1060.43 | 757.42 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 2.306 | 0.4794 | 1347.01 | 1060.43 | 757.42 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 2.3076 | 0.7194 | 1348 | 1061.22 | 758.1 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 2.3076 | 0.8004 | 1348 | 1061.22 | 757.89 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 2.3076 | 0.2176 | 1348 | 1061.22 | 757.89 |
| europe-north1 | Finland 🍃 | 3 | 2 | 2.3078 | 1.0784 | 1348.08 | 1061.22 | 758.1 |
| us-east4 | Northern Virginia | 3 | 2 | 2.3607 | 0.5661 | 1379.01 | 1031.51 | 736.8 |
| us-west4 | Las Vegas | 3 | 2 | 2.3607 | 1.2028 | 1378.98 | 1031.51 | 736.8 |
| asia-east1 | Taiwan | 3 | 2 | 2.4272 | 0.8543 | 1417.84 | 1116.3 | 797.39 |
| europe-west8 | Milan | 3 | 2 | 2.4316 | 0.2803 | 1420.42 | 1118.24 | 798.86 |
| europe-west9 | Paris 🍃 | 3 | 2 | 2.4316 | 0.6596 | 1420.42 | 1118.24 | 798.86 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 2.4735 | 0.6781 | 1444.91 | 1137.52 | 812.64 |
| us-south1 | Dallas 🍃 | 3 | 2 | 2.4735 | 0.4721 | 1444.91 | 1137.52 | 812.64 |
| asia-south1 | Mumbai | 3 | 2 | 2.5176 | 0.8022 | 1470.63 | 1157.67 | 827.06 |
| asia-south2 | Delhi | 3 | 2 | 2.5176 | 0.2267 | 1470.63 | 1157.67 | 827.06 |
| us-west2 | Los Angeles | 3 | 2 | 2.5178 | 0.7806 | 1470.78 | 1157.93 | 827.11 |
| us-west3 | Salt Lake City | 3 | 2 | 2.5178 | 0.8455 | 1470.78 | 1157.93 | 827.11 |
| australia-southeast2 | Melbourne | 3 | 2 | 2.528 | 0.8098 | 1476.72 | 1162.79 | 830.47 |
| europe-central2 | Warsaw | 3 | 2 | 2.5365 | 0.7681 | 1481.69 | 1166.55 | 833.39 |
| me-central1 | Doha | 3 | 2 | 2.5469 | 0.5944 | 1487.77 | 1171.26 | 836.74 |
| asia-southeast1 | Singapore | 3 | 2 | 2.5858 | 1.2796 | 1510.5 | 1189.09 | 849.46 |
| asia-northeast1 | Tokyo | 3 | 2 | 2.687 | 0.7405 | 1569.62 | 1235.77 | 882.59 |
| asia-northeast2 | Osaka | 3 | 2 | 2.6919 | 0.5676 | 1572.48 | 1238.06 | 884.41 |
| asia-northeast3 | Seoul | 3 | 2 | 2.6919 | 0.875 | 1572.48 | 1238.06 | 884.41 |
| europe-west2 | London 🍃 | 3 | 2 | 2.7006 | 0.518 | 1577.55 | 1240.79 | 886.16 |
| europe-west3 | Frankfurt | 3 | 2 | 2.7006 | 1.1258 | 1577.55 | 1240.79 | 886.16 |
| europe-west10 | Berlin | 3 | 2 | 2.7007 | 0.4477 | 1577.6 | 1240.79 | 886.19 |
| europe-west12 | Turin | 3 | 2 | 2.7041 | 0.4817 | 1579.61 | 1243.56 | 888.39 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 2.7461 | 0.9708 | 1604.15 | 1262.98 | 902.14 |
| asia-southeast2 | Jakarta | 3 | 2 | 2.8185 | 1.5417 | 1646.44 | 1296.11 | 925.91 |
| asia-east2 | Hong Kong | 3 | 2 | 2.933 | 1.0262 | 1713.28 | 1348.74 | 963.37 |
| australia-southeast1 | Sydney | 3 | 2 | 2.9742 | 1.4479 | 1737.37 | 1368.01 | 977.1 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 2.9976 | 0.673 | 1751.04 | 1378.52 | 984.81 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 3.3274 | 0.707 | 1943.66 | 1530.83 | 1093.46 |
| me-central2 | Dammam | 3 | 2 | 3.354 | 0.5069 | 1959.2 | 1542.4 | 1101.88 |