If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n1-highcpu-16
General-purpose Google Compute Engine machine type n1-highcpu-16 with 16 vCPU and 14.4 GB memory. Available in 29 Google Cloud regions.
✅ Instance Picker with filter on machine type n1-highcpu-16 Compare machine type n1-highcpu-16
Google Cloud VM n1-highcpu-16
Technical facts about the Google Compute Engine machine type n1-highcpu-16.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 16 |
| Memory | 14.4 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2 GHz |
| CPU Turbo Frequency | 2.7 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 207968 |
| EEMBC CoreMark Standard Deviation | 0.6 % |
| EEMBC CoreMark Sample Count | 640 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| 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 | 16 vCPUs, 14.4 GB RAM |
Costs (Pricing) for n1-highcpu-16
Cost and pricing across all regions for Google Cloud VM n1-highcpu-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.5668 | 0.6907 | 0.8997 |
| Spot provisioning model (Spot VM) | 0.0932 | 0.1578 | 0.3019 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 289.63 | 352.94 | 459.76 |
| Spot provisioning model (Spot VM) | 68.05 | 115.16 | 220.4 |
| 1 year commitment (CUD) | 260.66 | 317.71 | 413.88 |
| 3 year commitment (CUD) | 186.19 | 230.08 | 318.59 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-highcpu-16.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 537.28 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 126.14 | 126.14 | 126.14 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 189.8 | 189.8 | 189.8 |
Price per Region
Costs and pricing for Google Compute Engine machine type n1-highcpu-16 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 37%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 5 | 0.5668 | 0.1492 | 289.63 | 260.66 | 186.19 |
| us-east1 | South Carolina | 4 | 5 | 0.5668 | 0.1492 | 289.63 | 260.66 | 186.19 |
| us-west1 | Oregon 🍃 | 3 | 5 | 0.5668 | 0.1492 | 289.63 | 260.66 | 186.19 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 0.6235 | 0.1712 | 318.6 | 286.74 | 204.81 |
| me-west1 | Tel Aviv | 2 | 5 | 0.6235 | 0.1095 | 318.59 | 318.59 | 318.59 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 0.624 | 0.1394 | 318.86 | 286.97 | 204.99 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 0.624 | 0.1414 | 318.86 | 286.97 | 204.98 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 0.624 | 0.1773 | 318.86 | 286.97 | 204.98 |
| europe-north1 | Finland 🍃 | 3 | 5 | 0.6241 | 0.1549 | 318.89 | 286.97 | 204.99 |
| us-east4 | Northern Virginia | 3 | 5 | 0.6384 | 0.1557 | 326.21 | 278.91 | 199.23 |
| us-west4 | Las Vegas | 3 | 5 | 0.6384 | 0.1163 | 326.21 | 278.91 | 199.23 |
| asia-east1 | Taiwan | 3 | 5 | 0.6563 | 0.126 | 335.36 | 301.82 | 215.59 |
| asia-south1 | Mumbai | 3 | 5 | 0.6808 | 0.1285 | 347.88 | 313.06 | 223.63 |
| asia-south2 | Delhi | 3 | 5 | 0.6808 | 0.1925 | 347.88 | 313.06 | 223.63 |
| us-west2 | Los Angeles | 3 | 5 | 0.6808 | 0.1823 | 347.89 | 313.1 | 223.65 |
| us-west3 | Salt Lake City | 3 | 5 | 0.6808 | 0.1972 | 347.89 | 313.1 | 223.65 |
| asia-southeast1 | Singapore | 3 | 5 | 0.6992 | 0.1198 | 357.31 | 321.55 | 229.68 |
| asia-northeast1 | Tokyo | 3 | 5 | 0.7279 | 0.1643 | 371.97 | 334.77 | 239.12 |
| asia-northeast2 | Osaka | 3 | 5 | 0.7279 | 0.1984 | 371.97 | 334.77 | 239.12 |
| asia-northeast3 | Seoul | 3 | 5 | 0.7279 | 0.1271 | 371.97 | 334.77 | 239.12 |
| europe-central2 | Warsaw | 3 | 5 | 0.7303 | 0.1094 | 373.17 | 335.54 | 239.67 |
| europe-west2 | London 🍃 | 3 | 5 | 0.7303 | 0.152 | 373.17 | 335.54 | 239.67 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 0.7303 | 0.1512 | 373.17 | 335.54 | 239.67 |
| asia-southeast2 | Jakarta | 3 | 5 | 0.7622 | 0.1624 | 389.47 | 350.49 | 250.36 |
| asia-east2 | Hong Kong | 3 | 5 | 0.7931 | 0.1286 | 405.25 | 364.73 | 260.52 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 0.7931 | 0.1753 | 405.25 | 364.74 | 260.52 |
| australia-southeast1 | Sydney | 3 | 5 | 0.8043 | 0.2512 | 410.97 | 370.04 | 264.32 |
| australia-southeast2 | Melbourne | 3 | 5 | 0.8043 | 0.3019 | 410.97 | 370.04 | 264.32 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 0.8997 | 0.0932 | 459.76 | 413.88 | 295.63 |