If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type n1-highmem-16
General-purpose Google Compute Engine machine type n1-highmem-16 with 16 vCPU and 104 GB memory. GCE machine type n1-highmem-16 is certified for SAP applications on Google Cloud Platform. Available in 29 Google Cloud regions.
✅ Instance Picker with filter on machine type n1-highmem-16 Compare machine type n1-highmem-16
Google Cloud VM n1-highmem-16
Technical facts about the Google Compute Engine machine type n1-highmem-16.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 16 |
| Memory | 104 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 (?) | 208446 |
| EEMBC CoreMark Standard Deviation | 0.55 % |
| EEMBC CoreMark Sample Count | 616 |
| SAP Standard Benchmark (?) | 16720 |
| 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, 104 GB RAM |
Costs (Pricing) for n1-highmem-16
Cost and pricing across all regions for Google Cloud VM n1-highmem-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.9464 | 1.153 | 1.5023 |
| Spot provisioning model (Spot VM) | 0.1556 | 0.2628 | 0.504 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 483.62 | 589.21 | 767.67 |
| Spot provisioning model (Spot VM) | 113.58 | 191.84 | 367.89 |
| 1 year commitment (CUD) | 435.24 | 530.38 | 691.15 |
| 3 year commitment (CUD) | 310.93 | 384.1 | 531.98 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-highmem-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-highmem-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 | 0.9464 | 0.2452 | 483.62 | 435.24 | 310.93 |
| us-east1 | South Carolina | 4 | 5 | 0.9464 | 0.2452 | 483.62 | 435.24 | 310.93 |
| us-west1 | Oregon 🍃 | 3 | 5 | 0.9464 | 0.2452 | 483.62 | 435.24 | 310.93 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 1.0411 | 0.2858 | 532.01 | 478.77 | 341.97 |
| me-west1 | Tel Aviv | 2 | 5 | 1.0411 | 0.1828 | 531.98 | 531.98 | 531.98 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 1.0419 | 0.2332 | 532.4 | 479.14 | 342.28 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 1.0419 | 0.2364 | 532.4 | 479.16 | 342.26 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 1.0419 | 0.296 | 532.4 | 479.16 | 342.26 |
| europe-north1 | Finland 🍃 | 3 | 5 | 1.042 | 0.2587 | 532.44 | 479.14 | 342.28 |
| us-east4 | Northern Virginia | 3 | 5 | 1.0659 | 0.2478 | 544.66 | 465.72 | 332.66 |
| us-west4 | Las Vegas | 3 | 5 | 1.0659 | 0.1941 | 544.66 | 465.72 | 332.66 |
| asia-east1 | Taiwan | 3 | 5 | 1.0959 | 0.2103 | 559.98 | 504 | 360.01 |
| asia-south1 | Mumbai | 3 | 5 | 1.1367 | 0.2146 | 580.84 | 522.69 | 373.41 |
| asia-south2 | Delhi | 3 | 5 | 1.1367 | 0.3213 | 580.84 | 522.69 | 373.41 |
| us-west2 | Los Angeles | 3 | 5 | 1.1368 | 0.305 | 580.89 | 522.8 | 373.43 |
| us-west3 | Salt Lake City | 3 | 5 | 1.1368 | 0.3293 | 580.89 | 522.8 | 373.43 |
| asia-southeast1 | Singapore | 3 | 5 | 1.1675 | 0.2 | 596.59 | 536.87 | 383.52 |
| asia-northeast1 | Tokyo | 3 | 5 | 1.2135 | 0.274 | 620.08 | 558.07 | 398.58 |
| asia-northeast2 | Osaka | 3 | 5 | 1.2135 | 0.3307 | 620.08 | 558.07 | 398.58 |
| asia-northeast3 | Seoul | 3 | 5 | 1.2135 | 0.2119 | 620.08 | 558.07 | 398.58 |
| europe-central2 | Warsaw | 3 | 5 | 1.2193 | 0.1827 | 623.07 | 560.21 | 400.18 |
| europe-west2 | London 🍃 | 3 | 5 | 1.2193 | 0.2536 | 623.07 | 560.21 | 400.18 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 1.2193 | 0.2526 | 623.07 | 560.21 | 400.18 |
| asia-southeast2 | Jakarta | 3 | 5 | 1.2726 | 0.2711 | 650.28 | 585.19 | 418.04 |
| asia-east2 | Hong Kong | 3 | 5 | 1.3242 | 0.2153 | 676.67 | 609 | 435 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 1.3242 | 0.2933 | 676.67 | 609.04 | 435.03 |
| australia-southeast1 | Sydney | 3 | 5 | 1.3428 | 0.4251 | 686.19 | 617.67 | 441.21 |
| australia-southeast2 | Melbourne | 3 | 5 | 1.3428 | 0.504 | 686.19 | 617.67 | 441.21 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 1.5023 | 0.1556 | 767.67 | 691.15 | 493.69 |