Google Compute Engine Machine Type n4-highmem-2
General-purpose Google Compute Engine machine type n4-highmem-2 with 2 vCPU and 16 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highmem-2
Technical facts about the Google Compute Engine machine type n4-highmem-2.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 2 |
| Memory | 16 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 (?) | 44371 |
| EEMBC CoreMark Standard Deviation | 2.22 % |
| EEMBC CoreMark Sample Count | 84 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 10 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 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 | 2 vCPUs, 16 GB RAM |
Costs (Pricing) for n4-highmem-2
Cost and pricing across all regions for Google Cloud VM n4-highmem-2.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.119 | 0.1403 | 0.1904 |
| Spot provisioning model (Spot VM) | 0.0194 | 0.0484 | 0.0745 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 86.88 | 102.45 | 139.02 |
| Spot provisioning model (Spot VM) | 14.13 | 35.31 | 54.37 |
| 1 year commitment (CUD) | 54.74 | 64.54 | 87.58 |
| 3 year commitment (CUD) | 39.1 | 46.2 | 62.56 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highmem-2.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 67.16 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 21.02 | 21.02 | 21.02 |
| SUSE Linux Enterprise Server for SAP | 124.1 | 50.01 | 44.72 |
| Red Hat Enterprise Linux for SAP | 32.85 | 32.85 | 32.85 |
Price per Region
Costs and pricing for Google Compute Engine machine type n4-highmem-2 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 | 0.119 | 0.0533 | 86.88 | 54.74 | 39.1 |
| us-east1 | South Carolina | 3 | 1 | 0.119 | 0.0533 | 86.88 | 54.74 | 39.1 |
| us-east4 | Northern Virginia | 3 | 1 | 0.119 | 0.0457 | 86.88 | 54.74 | 39.1 |
| us-east5 | Columbus | 3 | 1 | 0.119 | 0.0335 | 86.88 | 54.74 | 39.1 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.119 | 0.0533 | 86.88 | 54.74 | 39.1 |
| asia-south1 | Mumbai | 3 | 1 | 0.1238 | 0.05 | 90.36 | 56.92 | 40.66 |
| asia-south2 | Delhi | 3 | 1 | 0.1238 | 0.0239 | 90.36 | 56.92 | 40.66 |
| asia-southeast3 | Bangkok | 3 | 1 | 0.125 | 0.0398 | 91.23 | 57.47 | 41.05 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 0.125 | 0.0472 | 91.23 | 57.47 | 42.01 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.125 | 0.0311 | 91.23 | 57.47 | 42.01 |
| northamerica-south1 | Mexico | 3 | 1 | 0.1297 | 0.0714 | 94.7 | 59.66 | 42.62 |
| me-west1 | Tel Aviv | 2 | 1 | 0.1309 | 0.0355 | 95.57 | 60.21 | 43.01 |
| africa-south1 | Johannesburg | 3 | 1 | 0.1311 | 0.0362 | 95.67 | 60.27 | 43.05 |
| europe-north1 | Finland 🍃 | 3 | 1 | 0.1311 | 0.0548 | 95.67 | 60.27 | 43.05 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.1311 | 0.0194 | 95.67 | 60.27 | 43.05 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.1311 | 0.0393 | 95.67 | 60.27 | 43.05 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.1311 | 0.0406 | 95.67 | 60.27 | 43.05 |
| us-west4 | Las Vegas | 3 | 1 | 0.1341 | 0.0635 | 97.86 | 61.65 | 44.04 |
| europe-west2 | London 🍃 | 3 | 1 | 0.1357 | 0.048 | 99.05 | 62.4 | 44.57 |
| asia-east1 | Taiwan | 3 | 1 | 0.1378 | 0.0723 | 100.6 | 63.38 | 45.27 |
| europe-west8 | Milan | 3 | 1 | 0.1381 | 0.0339 | 100.79 | 63.49 | 45.35 |
| europe-west9 | Paris 🍃 | 3 | 1 | 0.1381 | 0.0416 | 100.79 | 63.49 | 45.35 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 0.1404 | 0.0396 | 102.52 | 64.59 | 46.14 |
| europe-west3 | Frankfurt | 3 | 1 | 0.1404 | 0.0586 | 102.52 | 64.59 | 46.14 |
| us-south1 | Dallas 🍃 | 2 | 1 | 0.1404 | 0.0308 | 102.52 | 64.59 | 46.14 |
| us-west2 | Los Angeles | 3 | 1 | 0.1431 | 0.0745 | 104.44 | 65.8 | 47 |
| us-west3 | Salt Lake City | 3 | 1 | 0.1431 | 0.0285 | 104.44 | 65.8 | 47 |
| europe-central2 | Warsaw | 2 | 1 | 0.144 | 0.067 | 105.13 | 66.23 | 47.31 |
| me-central1 | Doha | 2 | 1 | 0.1446 | 0.0635 | 105.56 | 66.5 | 48.54 |
| asia-southeast1 | Singapore | 3 | 1 | 0.1468 | 0.0639 | 107.19 | 67.53 | 48.24 |
| australia-southeast1 | Sydney | 3 | 1 | 0.1488 | 0.0622 | 108.61 | 68.42 | 50.01 |
| asia-northeast1 | Tokyo | 3 | 1 | 0.1528 | 0.0726 | 111.58 | 70.29 | 50.21 |
| asia-northeast2 | Osaka | 3 | 1 | 0.1528 | 0.0441 | 111.58 | 70.29 | 50.21 |
| asia-northeast3 | Seoul | 3 | 1 | 0.1528 | 0.0703 | 111.58 | 70.29 | 50.21 |
| australia-southeast2 | Melbourne | 3 | 1 | 0.1547 | 0.0455 | 112.95 | 71.16 | 50.83 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 0.1559 | 0.0667 | 113.82 | 71.7 | 51.22 |
| asia-southeast2 | Jakarta | 3 | 1 | 0.16 | 0.0598 | 116.83 | 73.6 | 52.58 |
| asia-east2 | Hong Kong | 3 | 1 | 0.1665 | 0.0279 | 121.54 | 76.57 | 54.7 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 0.1702 | 0.0461 | 124.24 | 78.27 | 55.91 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.189 | 0.0419 | 137.96 | 86.91 | 62.08 |
| me-central2 | Dammam | 2 | 1 | 0.1904 | 0.0321 | 139.02 | 87.58 | 62.56 |