Google Compute Engine Machine Type n2-highcpu-48
Balanced Google Compute Engine machine type n2-highcpu-48 with 48 vCPU and 48 GB memory. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM n2-highcpu-48
Technical facts about the Google Compute Engine machine type n2-highcpu-48.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 48 |
| Memory | 48 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 (?) | 806668 |
| EEMBC CoreMark Standard Deviation | 1.07 % |
| EEMBC CoreMark Sample Count | 1080 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 48 vCPUs 48 GB RAM |
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Costs (Pricing) for n2-highcpu-48
Average cost and pricing across all regions for Google Cloud VM n2-highcpu-48.
| Avg. costs per hour | 2.0869 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 1219.06 |
| Avg. costs per month with 1 year commitment (CUD) | 957.15 |
| Avg. costs per month with 3 year commitment (CUD) | 683.69 |
Costs and pricing for Google Compute Engine machine type n2-highcpu-48 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 | 1.7207 | 1005.14 SUD | 791.34 | 565.27 |
| us-east1 | South Carolina | 4 | 2 | 1.7207 | 1005.14 SUD | 791.34 | 565.27 |
| us-east5 | Columbus | 3 | 1 | 1.7207 | 1005.14 SUD | 791.34 | 565.27 |
| us-west1 | Oregon 🍃 | 3 | 2 | 1.7207 | 1005.14 SUD | 791.34 | 565.27 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 1.8928 | 1105.69 SUD | 870.5 | 621.78 |
| me-west1 | Tel Aviv | 3 | 1 | 1.8928 | 1105.66 SUD | 870.48 | 621.79 |
| europe-west4 | Netherlands | 3 | 2 | 1.8944 | 1106.59 SUD | 871.2 | 622.31 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 1.8944 | 1106.59 SUD | 871.2 | 622.24 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 1 | 1.8944 | 1106.59 SUD | 871.2 | 622.24 |
| europe-north1 | Finland 🍃 | 3 | 1 | 1.8946 | 1106.7 SUD | 871.2 | 622.31 |
| us-east4 | Northern Virginia | 3 | 2 | 1.938 | 1132.1 SUD | 846.74 | 604.83 |
| us-west4 | Las Vegas | 3 | 2 | 1.938 | 1132.05 SUD | 846.74 | 604.83 |
| asia-east1 | Taiwan | 3 | 1 | 1.9924 | 1163.84 SUD | 916.3 | 654.51 |
| europe-west8 | Milan | 3 | 1 | 1.996 | 1165.97 SUD | 917.96 | 655.71 |
| europe-west9 | Paris 🍃 | 3 | 1 | 1.996 | 1165.97 SUD | 917.96 | 655.71 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 2.0304 | 1186.07 SUD | 933.79 | 667.01 |
| us-south1 | Dallas | 3 | 1 | 2.0304 | 1186.07 SUD | 933.79 | 667.01 |
| asia-south1 | Mumbai | 3 | 1 | 2.0668 | 1207.3 SUD | 950.39 | 678.9 |
| asia-south2 | Delhi | 3 | 1 | 2.0668 | 1207.3 SUD | 950.39 | 678.9 |
| us-west2 | Los Angeles | 3 | 1 | 2.0668 | 1207.33 SUD | 950.53 | 678.97 |
| us-west3 | Salt Lake City | 3 | 2 | 2.0668 | 1207.33 SUD | 950.53 | 678.97 |
| asia-southeast1 | Singapore | 3 | 2 | 2.1228 | 1240.03 SUD | 976.18 | 697.3 |
| asia-northeast2 | Osaka | 3 | 1 | 2.2097 | 1290.8 SUD | 1016.27 | 725.92 |
| asia-northeast3 | Seoul | 3 | 1 | 2.2097 | 1290.8 SUD | 1016.27 | 725.92 |
| asia-northeast1 | Tokyo | 3 | 2 | 2.2098 | 1290.83 SUD | 1016.27 | 725.89 |
| europe-central2 | Warsaw | 3 | 1 | 2.217 | 1295.07 SUD | 1018.65 | 727.57 |
| europe-west2 | London | 3 | 2 | 2.217 | 1295.07 SUD | 1018.65 | 727.57 |
| europe-west3 | Frankfurt | 3 | 2 | 2.217 | 1295.07 SUD | 1018.65 | 727.57 |
| asia-southeast2 | Jakarta | 3 | 1 | 2.3139 | 1351.63 SUD | 1064.04 | 760.05 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 2.4071 | 1406.1 SUD | 1107.02 | 790.75 |
| asia-east2 | Hong Kong | 3 | 1 | 2.4076 | 1406.41 SUD | 1107.23 | 790.89 |
| australia-southeast1 | Sydney | 3 | 1 | 2.4416 | 1426.26 SUD | 1123.38 | 802.42 |
| australia-southeast2 | Melbourne | 3 | 1 | 2.4416 | 1426.26 SUD | 1123.38 | 802.42 |
| southamerica-west1 | Santiago | 3 | 1 | 2.4606 | 1437.35 SUD | 1131.62 | 808.33 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 2.7314 | 1595.56 SUD | 1256.5 | 897.48 |
Operating System Licenses Costs for n2-highcpu-48
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highcpu-48.
| SUSE Linux Enterprise Server | 80.3 |
|---|---|
| Red Hat Enterprise Linux | 94.9 |
| Microsoft Windows Server | 1611.84 |
| SUSE Linux Enterprise Server for SAP | 299.3 |
| SUSE Linux Enterprise Server for SAP w. 1 year CUD | 119.94 |
| SUSE Linux Enterprise Server for SAP w. 3 year CUD | 107.75 |
| Red Hat Enterprise Linux for SAP | 164.25 |
Machine Types with 48 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| a2-highgpu-4g | 48 | +292.00 | 340 | Intel | +13.32 | 15.4077 | +10028.57 | 11247.63 | Compare |
| a2-ultragpu-4g | 48 | +632.00 | 680 | Intel | +19.55 | 21.6346 | +14574.19 | 15793.25 | Compare |
| n2-highcpu-48 | 48 | 48 | Intel | 2.0869 | 1219.06 SUD | ||||
| n2-highmem-48 | 48 | +336.00 | 384 | Intel SAP HANA | +1.73 | 3.8131 | +1008.36 | 2227.42 SUD | Compare |
| n2-standard-48 | 48 | +144.00 | 192 | Intel SAP | +0.74 | 2.8267 | +432.15 | 1651.21 SUD | Compare |
| n2d-highcpu-48 | 48 | = | 48 | AMD | -0.34 | 1.7444 | -200.08 | 1018.98 SUD | Compare |
| n2d-highmem-48 | 48 | +336.00 | 384 | AMD SAP | +1.10 | 3.1872 | +642.75 | 1861.81 SUD | Compare |
| n2d-standard-48 | 48 | +144.00 | 192 | AMD SAP | +0.28 | 2.3627 | +161.13 | 1380.19 SUD | Compare |
| t2a-standard-48 | 48 | +144.00 | 192 | Arm | -0.03 | 2.0536 | +280.07 | 1499.13 | Compare |
| t2d-standard-48 | 48 | +144.00 | 192 | AMD SAP | +0.31 | 2.3933 | +528.07 | 1747.13 | Compare |