Google Compute Engine Machine Type n2-highmem-32
Balanced 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 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM n2-highmem-32
Technical facts about the Google Compute Engine machine type n2-highmem-32.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 32 |
| Memory | 256 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.8 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.9 GHz |
| EEMBC CoreMark Benchmark (?) | 538032 |
| EEMBC CoreMark Standard Deviation | 1.96 % |
| EEMBC CoreMark Sample Count | 1274 |
| SAP Standard Benchmark (?) | 57185 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| 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 |
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Costs (Pricing) for n2-highmem-32
Average cost and pricing across all regions for Google Cloud VM n2-highmem-32.
| Avg. costs per hour | 2.5421 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 1484.95 |
| Avg. costs per month with 1 year commitment (CUD) | 1165.88 |
| Avg. costs per month with 3 year commitment (CUD) | 832.82 |
Costs and pricing for Google Compute Engine machine type n2-highmem-32 in Google Cloud regions in which the VM is available.
| Region | Location | #Zones | #Platf. | Hour ⬇️ | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 2 | 2.0962 | 1224.5 SUD | 964 | 688.68 |
| us-east1 | South Carolina | 4 | 2 | 2.0962 | 1224.5 SUD | 964 | 688.68 |
| us-east5 | Columbus | 3 | 2 | 2.0962 | 1224.5 SUD | 964 | 688.68 |
| us-west1 | Oregon 🍃 | 3 | 2 | 2.0962 | 1224.5 SUD | 964 | 688.68 |
| me-west1 | Tel Aviv | 3 | 1 | 2.3058 | 1346.95 SUD | 1060.4 | 757.54 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 2.306 | 1347.01 SUD | 1060.43 | 757.42 |
| europe-west4 | Netherlands | 3 | 2 | 2.3076 | 1348 SUD | 1061.22 | 758.1 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 2.3076 | 1348 SUD | 1061.22 | 757.89 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 2.3076 | 1348 SUD | 1061.22 | 757.89 |
| europe-north1 | Finland 🍃 | 3 | 1 | 2.3078 | 1348.08 SUD | 1061.22 | 758.1 |
| us-east4 | Northern Virginia | 3 | 2 | 2.3607 | 1379.01 SUD | 1031.51 | 736.8 |
| us-west4 | Las Vegas | 3 | 2 | 2.3607 | 1378.98 SUD | 1031.51 | 736.8 |
| asia-east1 | Taiwan | 3 | 2 | 2.4272 | 1417.84 SUD | 1116.3 | 797.39 |
| europe-west8 | Milan | 3 | 1 | 2.4316 | 1420.42 SUD | 1118.24 | 798.86 |
| europe-west9 | Paris 🍃 | 3 | 1 | 2.4316 | 1420.42 SUD | 1118.24 | 798.86 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 2.4735 | 1444.91 SUD | 1137.52 | 812.64 |
| us-south1 | Dallas | 3 | 1 | 2.4735 | 1444.91 SUD | 1137.52 | 812.64 |
| asia-south1 | Mumbai | 3 | 2 | 2.5176 | 1470.63 SUD | 1157.67 | 827.06 |
| asia-south2 | Delhi | 3 | 2 | 2.5176 | 1470.63 SUD | 1157.67 | 827.06 |
| us-west2 | Los Angeles | 3 | 2 | 2.5178 | 1470.78 SUD | 1157.93 | 827.11 |
| us-west3 | Salt Lake City | 3 | 2 | 2.5178 | 1470.78 SUD | 1157.93 | 827.11 |
| asia-southeast1 | Singapore | 3 | 2 | 2.5858 | 1510.5 SUD | 1189.09 | 849.46 |
| asia-northeast1 | Tokyo | 3 | 2 | 2.687 | 1569.62 SUD | 1235.77 | 882.59 |
| asia-northeast2 | Osaka | 3 | 1 | 2.6919 | 1572.48 SUD | 1238.06 | 884.41 |
| asia-northeast3 | Seoul | 3 | 2 | 2.6919 | 1572.48 SUD | 1238.06 | 884.41 |
| europe-central2 | Warsaw | 3 | 2 | 2.7006 | 1577.55 SUD | 1240.79 | 886.16 |
| europe-west2 | London | 3 | 2 | 2.7006 | 1577.55 SUD | 1240.79 | 886.16 |
| europe-west3 | Frankfurt | 3 | 2 | 2.7006 | 1577.55 SUD | 1240.79 | 886.16 |
| asia-southeast2 | Jakarta | 3 | 1 | 2.8185 | 1646.44 SUD | 1296.11 | 925.91 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 2.9324 | 1712.94 SUD | 1348.6 | 963.44 |
| asia-east2 | Hong Kong | 3 | 1 | 2.933 | 1713.28 SUD | 1348.74 | 963.37 |
| australia-southeast1 | Sydney | 3 | 2 | 2.9742 | 1737.37 SUD | 1368.01 | 977.1 |
| australia-southeast2 | Melbourne | 3 | 2 | 2.9742 | 1737.37 SUD | 1368.01 | 977.1 |
| southamerica-west1 | Santiago | 3 | 1 | 2.9976 | 1751.04 SUD | 1378.52 | 984.81 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 3.3274 | 1943.66 SUD | 1530.83 | 1093.46 |
Operating System Licenses Costs for n2-highmem-32
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 | 94.9 | 75.92 | 72.27 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 164.25 | 131.4 | 124.83 |
Machine Types with 32 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| c2d-highcpu-32 | 32 | -192.00 | 64 | AMD | -1.24 | 1.3037 | -533.25 | 951.7 | Compare |
| c2d-highmem-32 | 32 | = | 256 | AMD SAP | -0.41 | 2.1299 | +69.87 | 1554.82 | Compare |
| c2d-standard-32 | 32 | -128.00 | 128 | AMD SAP | -0.96 | 1.5791 | -332.21 | 1152.74 | Compare |
| e2-highcpu-32 | 32 | -224.00 | 32 | Intel AMD | -1.58 | 0.96 | -784.16 | 700.79 | Compare |
| e2-standard-32 | 32 | -128.00 | 128 | Intel AMD | -1.24 | 1.3002 | -535.79 | 949.16 | Compare |
| m3-ultramem-32 | 32 | +720.00 | 976 | Intel SAP HANA | +4.33 | 6.8767 | +3535.01 | 5019.96 | Compare |
| n1-highcpu-32 | 32 | -227.20 | 28.8 | Intel | -1.16 | 1.3814 | -779.07 | 705.88 SUD | Compare |
| n1-highmem-32 | 32 | -48.00 | 208 | Intel SAP HANA | -0.24 | 2.3061 | -306.54 | 1178.41 SUD | Compare |
| n1-standard-32 | 32 | -136.00 | 120 | Intel SAP | -0.69 | 1.852 | -538.58 | 946.37 SUD | Compare |
| n2-highcpu-32 | 32 | -224.00 | 32 | Intel | -1.15 | 1.3913 | -672.25 | 812.7 SUD | Compare |
| n2-highmem-32 | 32 | 256 | Intel SAP HANA | 2.5421 | 1484.95 SUD | ||||
| n2-standard-32 | 32 | -128.00 | 128 | Intel SAP | -0.66 | 1.8845 | -384.14 | 1100.81 SUD | Compare |
| n2d-highcpu-32 | 32 | -224.00 | 32 | AMD | -1.37 | 1.1713 | -800.76 | 684.19 SUD | Compare |
| n2d-highmem-32 | 32 | = | 256 | AMD SAP | -0.40 | 2.1401 | -234.85 | 1250.1 SUD | Compare |
| n2d-standard-32 | 32 | -128.00 | 128 | AMD SAP | -0.96 | 1.5865 | -558.23 | 926.72 SUD | Compare |
| t2a-standard-32 | 32 | -128.00 | 128 | Arm | -1.17 | 1.3691 | -485.53 | 999.42 | Compare |
| t2d-standard-32 | 32 | -128.00 | 128 | AMD SAP | -0.98 | 1.5607 | -345.62 | 1139.33 | Compare |