If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n1-highmem-32
General-purpose Google Compute Engine machine type n1-highmem-32 with 32 vCPU and 208 GB memory. GCE machine type n1-highmem-32 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 29 Google Cloud regions.
✅ Instance Picker with filter on machine type n1-highmem-32 Compare machine type n1-highmem-32
Google Cloud VM n1-highmem-32
Technical facts about the Google Compute Engine machine type n1-highmem-32.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 32 |
| Memory | 208 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2 GHz |
| CPU Turbo Frequency | 2.7 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 415396 |
| EEMBC CoreMark Standard Deviation | 0.75 % |
| EEMBC CoreMark Sample Count | 320 |
| SAP Standard Benchmark (?) | 33440 |
| 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 | ✔️ Certified for SAP HANA |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 32 vCPUs, 208 GB RAM |
Costs (Pricing) for n1-highmem-32
Cost and pricing across all regions for Google Cloud VM n1-highmem-32.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 1.8928 | 2.3061 | 3.0046 |
| Spot provisioning model (Spot VM) | 0.3424 | 0.5455 | 0.8567 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 967.25 | 1178.41 | 1535.33 |
| Spot provisioning model (Spot VM) | 249.93 | 398.21 | 625.36 |
| 1 year commitment (CUD) | 870.48 | 1060.75 | 1382.29 |
| 3 year commitment (CUD) | 621.85 | 768.19 | 1063.97 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-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 n1-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 37%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 5 | 1.8928 | 0.5152 | 967.25 | 870.48 | 621.85 |
| us-east1 | South Carolina | 4 | 5 | 1.8928 | 0.5152 | 967.25 | 870.48 | 621.85 |
| us-west1 | Oregon 🍃 | 3 | 5 | 1.8928 | 0.5152 | 967.25 | 870.48 | 621.85 |
| me-west1 | Tel Aviv | 2 | 5 | 2.0821 | 0.4022 | 1063.97 | 1063.97 | 1063.97 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 2.0822 | 0.5716 | 1064.02 | 957.55 | 683.95 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 2.0838 | 0.5365 | 1064.81 | 958.27 | 684.55 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 2.0838 | 0.5437 | 1064.81 | 958.33 | 684.52 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 2.0838 | 0.6514 | 1064.81 | 958.33 | 684.52 |
| europe-north1 | Finland 🍃 | 3 | 5 | 2.0839 | 0.5173 | 1064.87 | 958.27 | 684.55 |
| us-east4 | Northern Virginia | 3 | 5 | 2.1317 | 0.4213 | 1089.31 | 931.43 | 665.32 |
| us-west4 | Las Vegas | 3 | 5 | 2.1317 | 0.4463 | 1089.31 | 931.43 | 665.32 |
| asia-east1 | Taiwan | 3 | 5 | 2.1917 | 0.4207 | 1119.96 | 1008 | 720.03 |
| asia-south1 | Mumbai | 3 | 5 | 2.2733 | 0.4291 | 1161.68 | 1045.39 | 746.82 |
| asia-south2 | Delhi | 3 | 5 | 2.2733 | 0.739 | 1161.68 | 1045.39 | 746.82 |
| us-west2 | Los Angeles | 3 | 5 | 2.2736 | 0.6101 | 1161.79 | 1045.59 | 746.87 |
| us-west3 | Salt Lake City | 3 | 5 | 2.2736 | 0.6586 | 1161.79 | 1045.59 | 746.87 |
| asia-southeast1 | Singapore | 3 | 5 | 2.335 | 0.4598 | 1193.17 | 1073.74 | 767.05 |
| asia-northeast1 | Tokyo | 3 | 5 | 2.4269 | 0.6028 | 1240.16 | 1116.14 | 797.16 |
| asia-northeast2 | Osaka | 3 | 5 | 2.4269 | 0.7608 | 1240.16 | 1116.14 | 797.16 |
| asia-northeast3 | Seoul | 3 | 5 | 2.4269 | 0.4448 | 1240.16 | 1116.14 | 797.16 |
| europe-central2 | Warsaw | 3 | 5 | 2.4386 | 0.3653 | 1246.14 | 1120.43 | 800.35 |
| europe-west2 | London 🍃 | 3 | 5 | 2.4386 | 0.5072 | 1246.14 | 1120.43 | 800.35 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 2.4386 | 0.4799 | 1246.14 | 1120.43 | 800.35 |
| asia-southeast2 | Jakarta | 3 | 5 | 2.5451 | 0.5151 | 1300.56 | 1170.38 | 836.08 |
| asia-east2 | Hong Kong | 3 | 5 | 2.6484 | 0.4953 | 1353.34 | 1218 | 870.01 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 2.6484 | 0.6454 | 1353.34 | 1218.07 | 870.07 |
| australia-southeast1 | Sydney | 3 | 5 | 2.6857 | 0.8501 | 1372.38 | 1235.35 | 882.43 |
| australia-southeast2 | Melbourne | 3 | 5 | 2.6857 | 0.8567 | 1372.38 | 1235.35 | 882.43 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 3.0046 | 0.3424 | 1535.33 | 1382.29 | 987.38 |