Google Compute Engine Machine Type n2-highcpu-96
Balanced Google Compute Engine machine type n2-highcpu-96 with 96 vCPU and 96 GB memory. Available in 24 Google Cloud regions.
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Google Cloud VM n2-highcpu-96
Technical facts about the Google Compute Engine machine type n2-highcpu-96.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 96 |
| Memory | 96 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.6 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | - |
| EEMBC CoreMark Standard Deviation | - |
| EEMBC CoreMark Sample Count | - |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 100 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 | 96 vCPUs 96 GB RAM |
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Costs (Pricing) for n2-highcpu-96
Average cost and pricing across all regions for Google Cloud VM n2-highcpu-96.
| Avg. costs per hour | 4.0898 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 2389.06 |
| Avg. costs per month with 1 year commitment (CUD) | 1873.29 |
| Avg. costs per month with 3 year commitment (CUD) | 1338.08 |
Costs and pricing for Google Compute Engine machine type n2-highcpu-96 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 | 3.4414 | 2010.28 SUD | 1582.69 | 1130.53 |
| us-east1 | South Carolina | 3 | 2 | 3.4414 | 2010.28 SUD | 1582.69 | 1130.53 |
| us-east5 | Columbus | 1 | 2 | 3.4414 | 2010.28 SUD | 1582.69 | 1130.53 |
| us-west1 | Oregon 🍃 | 3 | 2 | 3.4414 | 2010.28 SUD | 1582.69 | 1130.53 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 3.7857 | 2211.38 SUD | 1741 | 1243.57 |
| europe-west4 | Netherlands | 3 | 2 | 3.7887 | 2213.17 SUD | 1742.4 | 1244.62 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 3.7887 | 2213.17 SUD | 1742.4 | 1244.48 |
| northamerica-northeast2 | Toronto 🍃 | 1 | 2 | 3.7887 | 2213.17 SUD | 1742.4 | 1244.48 |
| us-west4 | Las Vegas | 3 | 2 | 3.8759 | 2264.09 SUD | 1693.48 | 1209.65 |
| us-east4 | Northern Virginia | 3 | 2 | 3.8761 | 2264.21 SUD | 1693.48 | 1209.65 |
| asia-east1 | Taiwan | 1 | 2 | 3.9848 | 2327.69 SUD | 1832.59 | 1309.02 |
| asia-south1 | Mumbai | 3 | 2 | 4.1336 | 2414.61 SUD | 1900.78 | 1357.8 |
| asia-south2 | Delhi | 2 | 2 | 4.1336 | 2414.61 SUD | 1900.78 | 1357.8 |
| us-west2 | Los Angeles | 2 | 2 | 4.1337 | 2414.66 SUD | 1901.06 | 1357.94 |
| us-west3 | Salt Lake City | 3 | 2 | 4.1337 | 2414.66 SUD | 1901.06 | 1357.94 |
| asia-southeast1 | Singapore | 3 | 2 | 4.2456 | 2480.05 SUD | 1952.36 | 1394.59 |
| asia-northeast3 | Seoul | 1 | 2 | 4.4195 | 2581.61 SUD | 2032.53 | 1451.85 |
| asia-northeast1 | Tokyo | 3 | 2 | 4.4196 | 2581.66 SUD | 2032.53 | 1451.78 |
| europe-central2 | Warsaw | 3 | 2 | 4.434 | 2590.13 SUD | 2037.3 | 1455.14 |
| europe-west2 | London | 3 | 2 | 4.434 | 2590.13 SUD | 2037.3 | 1455.14 |
| europe-west3 | Frankfurt | 3 | 2 | 4.434 | 2590.13 SUD | 2037.3 | 1455.14 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 4.8142 | 2812.2 SUD | 2214.04 | 1581.5 |
| australia-southeast1 | Sydney | 3 | 2 | 4.8832 | 2852.52 SUD | 2246.76 | 1604.83 |
| australia-southeast2 | Melbourne | 3 | 2 | 4.8832 | 2852.52 SUD | 2246.76 | 1604.83 |
Operating System Licenses Costs for n2-highcpu-96
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highcpu-96.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 3223.68 | ||
| 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 96 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| a2-highgpu-8g | 96 | +584.00 | 680 | Intel | +27.15 | 31.236 | +20413.21 | 22802.27 | Compare |
| a2-megagpu-16g | 96 | +1264.00 | 1360 | Intel | +53.06 | 57.1454 | +39327.12 | 41716.18 | Compare |
| a2-ultragpu-8g | 96 | +1264.00 | 1360 | Intel | +38.67 | 42.7609 | +28826.41 | 31215.47 | Compare |
| m1-megamem-96 | 96 | +1337.60 | 1433.6 | Intel SAP HANA | +8.10 | 12.1933 | +3841.73 | 6230.79 SUD | Compare |
| n1-highcpu-96 | 96 | -9.60 | 86.4 | Intel | +0.05 | 4.1441 | -271.41 | 2117.65 SUD | Compare |
| n1-highmem-96 | 96 | +528.00 | 624 | Intel SAP HANA | +2.83 | 6.9183 | +1146.18 | 3535.24 SUD | Compare |
| n1-standard-96 | 96 | +264.00 | 360 | Intel SAP | +1.47 | 5.556 | +450.04 | 2839.1 SUD | Compare |
| n2-highcpu-96 | 96 | 96 | Intel | 4.0898 | 2389.06 SUD | ||||
| n2-highmem-96 | 96 | +672.00 | 768 | Intel SAP HANA | +3.20 | 7.2888 | +1868.68 | 4257.74 SUD | Compare |
| n2-standard-96 | 96 | +288.00 | 384 | Intel SAP | +1.45 | 5.5396 | +846.87 | 3235.93 SUD | Compare |
| n2d-highcpu-96 | 96 | = | 96 | AMD | -0.58 | 3.5138 | -336.50 | 2052.56 SUD | Compare |
| n2d-highmem-96 | 96 | +672.00 | 768 | AMD SAP | +2.33 | 6.4202 | +1361.25 | 3750.31 SUD | Compare |
| n2d-standard-96 | 96 | +288.00 | 384 | AMD SAP | +0.67 | 4.7594 | +391.11 | 2780.17 SUD | Compare |