If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n1-standard-16
General-purpose Google Compute Engine machine type n1-standard-16 with 16 vCPU and 60 GB memory. GCE machine type n1-standard-16 is certified for SAP applications on Google Cloud Platform. Available in 29 Google Cloud regions.
✅ Instance Picker with filter on machine type n1-standard-16 Compare machine type n1-standard-16
Google Cloud VM n1-standard-16
Technical facts about the Google Compute Engine machine type n1-standard-16.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 16 |
| Memory | 60 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 (?) | 208193 |
| EEMBC CoreMark Standard Deviation | 0.58 % |
| EEMBC CoreMark Sample Count | 624 |
| SAP Standard Benchmark (?) | 16720 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ Optional |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 16 vCPUs, 60 GB RAM |
Costs (Pricing) for n1-standard-16
Cost and pricing across all regions for Google Cloud VM n1-standard-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.76 | 0.926 | 1.2064 |
| Spot provisioning model (Spot VM) | 0.1308 | 0.2256 | 0.3397 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 388.36 | 473.18 | 616.46 |
| Spot provisioning model (Spot VM) | 95.51 | 164.7 | 247.95 |
| 1 year commitment (CUD) | 349.51 | 425.94 | 554.99 |
| 3 year commitment (CUD) | 249.67 | 308.46 | 427.19 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-standard-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-standard-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 | 0.76 | 0.1675 | 388.36 | 349.51 | 249.67 |
| us-east1 | South Carolina | 4 | 5 | 0.76 | 0.1675 | 388.36 | 349.51 | 249.67 |
| us-west1 | Oregon 🍃 | 3 | 5 | 0.76 | 0.1675 | 388.36 | 349.51 | 249.67 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 0.836 | 0.2507 | 427.21 | 384.47 | 274.62 |
| me-west1 | Tel Aviv | 2 | 5 | 0.836 | 0.1759 | 427.19 | 427.19 | 427.19 |
| europe-north1 | Finland 🍃 | 3 | 5 | 0.8367 | 0.2508 | 427.57 | 384.77 | 274.86 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 0.8367 | 0.2706 | 427.54 | 384.77 | 274.86 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 0.8367 | 0.2509 | 427.54 | 384.79 | 274.85 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 0.8367 | 0.2354 | 427.54 | 384.79 | 274.85 |
| us-east4 | Northern Virginia | 3 | 5 | 0.8559 | 0.1808 | 437.39 | 373.98 | 267.13 |
| us-west4 | Las Vegas | 3 | 5 | 0.8559 | 0.2062 | 437.39 | 373.98 | 267.13 |
| asia-east1 | Taiwan | 3 | 5 | 0.88 | 0.1689 | 449.68 | 404.71 | 289.09 |
| asia-south1 | Mumbai | 3 | 5 | 0.9128 | 0.1784 | 466.44 | 419.75 | 299.85 |
| asia-south2 | Delhi | 3 | 5 | 0.9128 | 0.2812 | 466.44 | 419.75 | 299.85 |
| us-west2 | Los Angeles | 3 | 5 | 0.9129 | 0.2674 | 466.47 | 419.82 | 299.88 |
| us-west3 | Salt Lake City | 3 | 5 | 0.9129 | 0.2644 | 466.47 | 419.82 | 299.88 |
| asia-southeast1 | Singapore | 3 | 5 | 0.9375 | 0.1919 | 479.08 | 431.13 | 307.98 |
| asia-northeast1 | Tokyo | 3 | 5 | 0.975 | 0.2665 | 498.24 | 448.41 | 320.27 |
| asia-northeast2 | Osaka | 3 | 5 | 0.975 | 0.3202 | 498.24 | 448.41 | 320.27 |
| asia-northeast3 | Seoul | 3 | 5 | 0.975 | 0.2053 | 498.24 | 448.41 | 320.27 |
| europe-central2 | Warsaw | 3 | 5 | 0.9792 | 0.1308 | 500.35 | 449.88 | 321.36 |
| europe-west2 | London 🍃 | 3 | 5 | 0.9792 | 0.2037 | 500.35 | 449.88 | 321.36 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 0.9792 | 0.242 | 500.35 | 449.88 | 321.36 |
| asia-southeast2 | Jakarta | 3 | 5 | 1.0219 | 0.215 | 522.2 | 469.93 | 335.7 |
| asia-east2 | Hong Kong | 3 | 5 | 1.0634 | 0.228 | 543.39 | 489.04 | 349.32 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 1.0634 | 0.2719 | 543.39 | 489.07 | 349.34 |
| australia-southeast1 | Sydney | 3 | 5 | 1.0784 | 0.3397 | 551.04 | 496.07 | 354.35 |
| australia-southeast2 | Melbourne | 3 | 5 | 1.0784 | 0.2858 | 551.04 | 496.07 | 354.35 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 1.2064 | 0.1581 | 616.46 | 554.99 | 396.43 |