Google Compute Engine Machine Type n2-standard-16
Balanced Google Compute Engine machine type n2-standard-16 with 16 vCPU and 64 GB memory. GCE machine type n2-standard-16 is certified for SAP applications on Google Cloud Platform. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM n2-standard-16
Technical facts about the Google Compute Engine machine type n2-standard-16.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 16 |
| Memory | 64 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 (?) | 269760 |
| EEMBC CoreMark Standard Deviation | 0.67 % |
| EEMBC CoreMark Sample Count | 871 |
| SAP Standard Benchmark (?) | 28608 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 16 vCPUs 64 GB RAM |
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Costs (Pricing) for n2-standard-16
Average cost and pricing across all regions for Google Cloud VM n2-standard-16.
| Avg. costs per hour | 0.9422 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 550.4 |
| Avg. costs per month with 1 year commitment (CUD) | 432.15 |
| Avg. costs per month with 3 year commitment (CUD) | 308.69 |
Costs and pricing for Google Compute Engine machine type n2-standard-16 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 | 0.7769 | 453.85 SUD | 357.3 | 255.24 |
| us-east1 | South Carolina | 4 | 2 | 0.7769 | 453.85 SUD | 357.3 | 255.24 |
| us-east5 | Columbus | 3 | 1 | 0.7769 | 453.85 SUD | 357.3 | 255.24 |
| us-west1 | Oregon 🍃 | 3 | 2 | 0.7769 | 453.85 SUD | 357.3 | 255.24 |
| me-west1 | Tel Aviv | 3 | 1 | 0.8546 | 499.23 SUD | 393.03 | 280.77 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 0.8547 | 499.25 SUD | 393.04 | 280.74 |
| europe-west4 | Netherlands | 3 | 2 | 0.8553 | 499.64 SUD | 393.35 | 280.99 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 0.8553 | 499.64 SUD | 393.35 | 280.93 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 1 | 0.8553 | 499.64 SUD | 393.35 | 280.93 |
| europe-north1 | Finland 🍃 | 3 | 1 | 0.8554 | 499.67 SUD | 393.35 | 280.99 |
| us-east4 | Northern Virginia | 3 | 2 | 0.875 | 511.14 SUD | 382.32 | 273.09 |
| us-west4 | Las Vegas | 3 | 2 | 0.875 | 511.12 SUD | 382.32 | 273.09 |
| asia-east1 | Taiwan | 3 | 1 | 0.8996 | 525.51 SUD | 413.74 | 295.54 |
| europe-west8 | Milan | 3 | 1 | 0.9013 | 526.46 SUD | 414.47 | 296.08 |
| europe-west9 | Paris 🍃 | 3 | 1 | 0.9013 | 526.46 SUD | 414.47 | 296.08 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 0.9168 | 535.54 SUD | 421.62 | 301.19 |
| us-south1 | Dallas | 3 | 1 | 0.9168 | 535.54 SUD | 421.62 | 301.19 |
| asia-south1 | Mumbai | 3 | 1 | 0.9332 | 545.1 SUD | 429.1 | 306.54 |
| asia-south2 | Delhi | 3 | 1 | 0.9332 | 545.1 SUD | 429.1 | 306.54 |
| us-west2 | Los Angeles | 3 | 1 | 0.9332 | 545.13 SUD | 429.18 | 306.56 |
| us-west3 | Salt Lake City | 3 | 2 | 0.9332 | 545.13 SUD | 429.18 | 306.56 |
| asia-southeast1 | Singapore | 3 | 2 | 0.9584 | 559.87 SUD | 440.74 | 314.85 |
| asia-northeast1 | Tokyo | 3 | 2 | 0.9967 | 582.22 SUD | 458.38 | 327.39 |
| asia-northeast2 | Osaka | 3 | 1 | 0.9977 | 582.83 SUD | 458.87 | 327.79 |
| asia-northeast3 | Seoul | 3 | 1 | 0.9977 | 582.83 SUD | 458.87 | 327.79 |
| europe-central2 | Warsaw | 3 | 1 | 1.001 | 584.73 SUD | 459.91 | 328.48 |
| europe-west2 | London | 3 | 2 | 1.001 | 584.73 SUD | 459.91 | 328.48 |
| europe-west3 | Frankfurt | 3 | 2 | 1.001 | 584.73 SUD | 459.91 | 328.48 |
| asia-southeast2 | Jakarta | 3 | 1 | 1.0447 | 610.26 SUD | 480.41 | 343.18 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 1.0869 | 634.89 SUD | 499.85 | 357.07 |
| asia-east2 | Hong Kong | 3 | 1 | 1.0871 | 635.02 SUD | 499.92 | 357.08 |
| australia-southeast1 | Sydney | 3 | 1 | 1.1024 | 643.96 SUD | 507.12 | 362.22 |
| australia-southeast2 | Melbourne | 3 | 1 | 1.1024 | 643.96 SUD | 507.12 | 362.22 |
| southamerica-west1 | Santiago | 3 | 1 | 1.111 | 649 SUD | 510.94 | 365 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 1.2333 | 720.42 SUD | 567.37 | 405.26 |
Operating System Licenses Costs for n2-standard-16
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-standard-16.
| SUSE Linux Enterprise Server | 80.3 |
|---|---|
| Red Hat Enterprise Linux | 94.9 |
| Microsoft Windows Server | 537.28 |
| 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 16 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| c2-standard-16 | 16 | = | 64 | Intel SAP | +0.07 | 1.0122 | +40.90 | 591.3 SUD | Compare |
| c2d-highcpu-16 | 16 | -32.00 | 32 | AMD | -0.27 | 0.6753 | -57.45 | 492.95 | Compare |
| c2d-highmem-16 | 16 | +64.00 | 128 | AMD SAP | +0.16 | 1.1032 | +254.95 | 805.35 | Compare |
| c2d-standard-16 | 16 | = | 64 | AMD SAP | -0.12 | 0.8179 | +46.68 | 597.08 | Compare |
| e2-highcpu-16 | 16 | -48.00 | 16 | Intel AMD | -0.45 | 0.4886 | -193.73 | 356.67 | Compare |
| e2-highmem-16 | 16 | +64.00 | 128 | Intel AMD | -0.05 | 0.8926 | +101.22 | 651.62 | Compare |
| e2-standard-16 | 16 | = | 64 | Intel AMD | -0.28 | 0.6617 | -67.32 | 483.08 | Compare |
| n1-highcpu-16 | 16 | -49.60 | 14.4 | Intel | -0.25 | 0.6931 | -196.23 | 354.17 SUD | Compare |
| n1-highmem-16 | 16 | +40.00 | 104 | Intel SAP | +0.21 | 1.157 | +40.85 | 591.25 SUD | Compare |
| n1-standard-16 | 16 | -4.00 | 60 | Intel SAP | -0.01 | 0.9292 | -75.57 | 474.83 SUD | Compare |
| n2-highcpu-16 | 16 | -48.00 | 16 | Intel | -0.25 | 0.6956 | -144.05 | 406.35 SUD | Compare |
| n2-highmem-16 | 16 | +64.00 | 128 | Intel SAP | +0.33 | 1.271 | +192.07 | 742.47 SUD | Compare |
| n2-standard-16 | 16 | 64 | Intel SAP | 0.9422 | 550.4 SUD | ||||
| n2d-highcpu-16 | 16 | -48.00 | 16 | AMD | -0.36 | 0.5815 | -210.74 | 339.66 SUD | Compare |
| n2d-highmem-16 | 16 | +64.00 | 128 | AMD SAP | +0.12 | 1.0624 | +70.20 | 620.6 SUD | Compare |
| n2d-standard-16 | 16 | = | 64 | AMD SAP | -0.15 | 0.7876 | -90.34 | 460.06 SUD | Compare |
| t2a-standard-16 | 16 | = | 64 | Arm | -0.26 | 0.6845 | -50.69 | 499.71 | Compare |
| t2d-standard-16 | 16 | = | 64 | AMD SAP | -0.14 | 0.7978 | +31.98 | 582.38 | Compare |