Google Compute Engine Machine Type n4-highmem-32
General-purpose Google Compute Engine machine type n4-highmem-32 with 32 vCPU and 256 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highmem-32
Technical facts about the Google Compute Engine machine type n4-highmem-32.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 32 |
| Memory | 256 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.1 GHz |
| CPU Turbo Frequency | 2.9 GHz |
| CPU Max. Turbo Frequency | 3.3 GHz |
| EEMBC CoreMark Benchmark (?) | 704876 |
| EEMBC CoreMark Standard Deviation | 2.13 % |
| EEMBC CoreMark Sample Count | 84 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ❌ Optional |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 32 vCPUs, 256 GB RAM |
Costs (Pricing) for n4-highmem-32
Cost and pricing across all regions for Google Cloud VM n4-highmem-32.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 1.9043 | 2.2456 | 3.0469 |
| Spot provisioning model (Spot VM) | 0.3738 | 0.7716 | 1.1309 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 1390.15 | 1639.25 | 2224.25 |
| Spot provisioning model (Spot VM) | 272.89 | 563.29 | 825.59 |
| 1 year commitment (CUD) | 875.77 | 1032.69 | 1401.23 |
| 3 year commitment (CUD) | 625.58 | 739.27 | 1000.93 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-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 n4-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 | 1 | 1.9043 | 0.7749 | 1390.15 | 875.77 | 625.58 |
| us-east1 | South Carolina | 3 | 1 | 1.9043 | 0.7749 | 1390.15 | 875.77 | 625.58 |
| us-east4 | Northern Virginia | 3 | 1 | 1.9043 | 0.6976 | 1390.15 | 875.77 | 625.58 |
| us-east5 | Columbus | 3 | 1 | 1.9043 | 0.5142 | 1390.15 | 875.77 | 625.58 |
| us-west1 | Oregon 🍃 | 3 | 1 | 1.9043 | 0.7749 | 1390.15 | 875.77 | 625.58 |
| asia-south1 | Mumbai | 3 | 1 | 1.9805 | 0.7667 | 1445.76 | 910.8 | 650.6 |
| asia-south2 | Delhi | 3 | 1 | 1.9805 | 0.3738 | 1445.76 | 910.8 | 650.6 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 1.9995 | 0.8359 | 1459.66 | 919.55 | 672.17 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 1.9995 | 0.4999 | 1459.66 | 919.55 | 672.17 |
| asia-southeast3 | Bangkok | 3 | 1 | 1.9996 | 0.7821 | 1459.67 | 919.55 | 656.87 |
| northamerica-south1 | Mexico | 3 | 1 | 2.0757 | 1.0378 | 1515.27 | 954.59 | 681.88 |
| me-west1 | Tel Aviv | 2 | 1 | 2.0948 | 0.718 | 1529.17 | 963.34 | 688.14 |
| africa-south1 | Johannesburg | 3 | 1 | 2.0968 | 0.8355 | 1530.7 | 964.31 | 688.83 |
| europe-north1 | Finland 🍃 | 3 | 1 | 2.0968 | 0.8766 | 1530.7 | 964.31 | 688.83 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 2.0968 | 0.3804 | 1530.7 | 964.31 | 688.83 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 2.0968 | 0.662 | 1530.7 | 964.31 | 688.83 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 2.0968 | 0.5911 | 1530.7 | 964.31 | 688.83 |
| us-west4 | Las Vegas | 3 | 1 | 2.1448 | 1.0695 | 1565.73 | 986.38 | 704.59 |
| europe-west2 | London 🍃 | 3 | 1 | 2.1709 | 0.6973 | 1584.78 | 998.37 | 713.16 |
| asia-east1 | Taiwan | 3 | 1 | 2.205 | 1.1025 | 1609.66 | 1014.05 | 724.36 |
| europe-west8 | Milan | 3 | 1 | 2.209 | 0.5705 | 1612.58 | 1015.89 | 725.67 |
| europe-west9 | Paris 🍃 | 3 | 1 | 2.209 | 0.6963 | 1612.58 | 1015.89 | 725.67 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 2.2471 | 0.8398 | 1640.38 | 1033.4 | 738.19 |
| europe-west3 | Frankfurt | 3 | 1 | 2.2471 | 0.9394 | 1640.38 | 1033.4 | 738.19 |
| us-south1 | Dallas 🍃 | 2 | 1 | 2.2471 | 0.6051 | 1640.38 | 1033.4 | 738.19 |
| us-west2 | Los Angeles | 3 | 1 | 2.2892 | 1.0858 | 1671.1 | 1052.76 | 752.01 |
| us-west3 | Salt Lake City | 3 | 1 | 2.2892 | 0.5316 | 1671.1 | 1052.76 | 752.01 |
| europe-central2 | Warsaw | 2 | 1 | 2.3042 | 1.0257 | 1682.09 | 1059.68 | 756.95 |
| me-central1 | Doha | 2 | 1 | 2.3137 | 0.7735 | 1689.04 | 1064.06 | 776.63 |
| asia-southeast1 | Singapore | 3 | 1 | 2.3494 | 0.8864 | 1715.03 | 1080.43 | 771.78 |
| australia-southeast1 | Sydney | 2 | 1 | 2.3804 | 0.9951 | 1737.69 | 1094.71 | 800.2 |
| asia-northeast1 | Tokyo | 3 | 1 | 2.4455 | 1.1309 | 1785.24 | 1124.66 | 803.37 |
| asia-northeast2 | Osaka | 2 | 1 | 2.4455 | 0.7427 | 1785.24 | 1124.66 | 803.37 |
| asia-northeast3 | Seoul | 3 | 1 | 2.4455 | 1.0223 | 1785.24 | 1124.66 | 803.37 |
| australia-southeast2 | Melbourne | 3 | 1 | 2.4756 | 0.6314 | 1807.2 | 1138.5 | 813.26 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 2.4947 | 0.8924 | 1821.1 | 1147.25 | 819.51 |
| asia-southeast2 | Jakarta | 3 | 1 | 2.5607 | 1.0066 | 1869.34 | 1177.64 | 841.22 |
| asia-east2 | Hong Kong | 2 | 1 | 2.664 | 0.4486 | 1944.69 | 1225.11 | 875.13 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 2.7232 | 0.7772 | 1987.92 | 1252.35 | 894.58 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 3.0239 | 0.7446 | 2207.42 | 1390.63 | 993.36 |
| me-central2 | Dammam | 2 | 1 | 3.0469 | 0.5254 | 2224.25 | 1401.23 | 1000.93 |