Google Compute Engine Machine Type e2-standard-16
Cost-optimized Google Compute Engine machine type e2-standard-16 with 16 vCPU and 64 GB memory. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM e2-standard-16
Technical facts about the Google Compute Engine machine type e2-standard-16.
| Series | E2 |
|---|---|
| Family | Cost-optimized |
| vCPU | 16 |
| Memory | 64 GB |
| CPU Manufactur | Intel AMD |
| CPU Platform |
|
| CPU Base Frequency | 2.25 GHz |
| CPU Turbo Frequency | 2.7 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 220997 |
| EEMBC CoreMark Standard Deviation | 1.91 % |
| EEMBC CoreMark Sample Count | 18497 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 16 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 | Efficient Instance, 16 vCPUs, 64 GB RAM |
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Costs (Pricing) for e2-standard-16
Average cost and pricing across all regions for Google Cloud VM e2-standard-16.
| Avg. costs per hour | 0.6501 |
|---|---|
| Avg. costs per month | 474.58 |
| Avg. costs per month with 1 year commitment (CUD) | 298.98 |
| Avg. costs per month with 3 year commitment (CUD) | 213.56 |
Costs and pricing for Google Compute Engine machine type e2-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 | 4 | 0.5361 | 391.35 | 246.55 | 176.11 |
| us-east1 | South Carolina | 4 | 4 | 0.5361 | 391.35 | 246.55 | 176.11 |
| us-east5 | Columbus | 3 | 4 | 0.5361 | 391.35 | 246.55 | 176.11 |
| us-west1 | Oregon 🍃 | 3 | 4 | 0.5361 | 391.35 | 246.55 | 176.11 |
| europe-west1 | Belgium 🍃 | 3 | 4 | 0.5897 | 430.5 | 271.21 | 193.72 |
| me-west1 | Tel Aviv | 3 | 3 | 0.5897 | 430.48 | 271.2 | 193.72 |
| europe-north1 | Finland 🍃 | 3 | 4 | 0.5902 | 430.86 | 271.44 | 193.89 |
| europe-west4 | Netherlands | 3 | 4 | 0.5902 | 430.83 | 271.42 | 193.87 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 4 | 0.5902 | 430.83 | 271.42 | 193.87 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 3 | 0.5902 | 430.83 | 271.42 | 193.87 |
| us-east4 | Northern Virginia | 3 | 4 | 0.6038 | 440.75 | 277.67 | 198.34 |
| us-west4 | Las Vegas | 3 | 3 | 0.6038 | 440.75 | 277.67 | 198.34 |
| asia-east1 | Taiwan | 3 | 4 | 0.6207 | 453.14 | 285.48 | 203.91 |
| europe-west8 | Milan | 3 | 4 | 0.6219 | 453.95 | 285.97 | 204.28 |
| europe-west9 | Paris 🍃 | 3 | 4 | 0.6219 | 453.95 | 285.97 | 204.28 |
| europe-southwest1 | Madrid 🍃 | 3 | 4 | 0.6326 | 461.8 | 290.91 | 207.83 |
| us-south1 | Dallas | 3 | 3 | 0.6326 | 461.79 | 290.93 | 207.81 |
| asia-south1 | Mumbai | 3 | 4 | 0.6439 | 470.03 | 296.12 | 211.51 |
| asia-south2 | Delhi | 3 | 4 | 0.6439 | 470.03 | 296.12 | 211.51 |
| us-west2 | Los Angeles | 3 | 4 | 0.6439 | 470.06 | 296.14 | 211.53 |
| us-west3 | Salt Lake City | 3 | 4 | 0.6439 | 470.06 | 296.14 | 211.53 |
| asia-southeast1 | Singapore | 3 | 4 | 0.6613 | 482.77 | 304.15 | 217.25 |
| asia-northeast1 | Tokyo | 3 | 4 | 0.6877 | 502.04 | 316.29 | 225.92 |
| asia-northeast2 | Osaka | 3 | 3 | 0.6877 | 502.04 | 316.29 | 225.92 |
| asia-northeast3 | Seoul | 3 | 4 | 0.6877 | 502.04 | 316.29 | 225.92 |
| europe-central2 | Warsaw | 3 | 4 | 0.6907 | 504.2 | 317.65 | 226.89 |
| europe-west2 | London | 3 | 4 | 0.6907 | 504.2 | 317.65 | 226.89 |
| europe-west3 | Frankfurt | 3 | 4 | 0.6907 | 504.2 | 317.65 | 226.89 |
| asia-southeast2 | Jakarta | 3 | 3 | 0.7208 | 526.22 | 331.52 | 236.8 |
| asia-east2 | Hong Kong | 3 | 4 | 0.7501 | 547.57 | 344.97 | 246.4 |
| europe-west6 | Zurich 🍃 | 3 | 3 | 0.7501 | 547.57 | 344.97 | 246.4 |
| australia-southeast1 | Sydney | 3 | 4 | 0.7607 | 555.28 | 349.83 | 249.88 |
| australia-southeast2 | Melbourne | 3 | 3 | 0.7607 | 555.28 | 349.83 | 249.88 |
| southamerica-west1 | Santiago | 3 | 3 | 0.7666 | 559.63 | 352.56 | 251.83 |
| southamerica-east1 | São Paulo 🍃 | 3 | 4 | 0.851 | 621.2 | 391.36 | 279.54 |
Operating System Licenses Costs for e2-standard-16
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type e2-standard-16.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 537.28 | ||
| 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 16 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| c2-standard-16 | 16 | = | 64 | Intel SAP | +0.36 | 1.0122 | +116.72 | 591.3 SUD | Compare |
| c2d-highcpu-16 | 16 | -32.00 | 32 | AMD | +0.00 | 0.6518 | +1.27 | 475.85 | Compare |
| c2d-highmem-16 | 16 | +64.00 | 128 | AMD SAP | +0.41 | 1.0649 | +302.83 | 777.41 | Compare |
| c2d-standard-16 | 16 | = | 64 | AMD SAP | +0.14 | 0.7895 | +101.79 | 576.37 | Compare |
| e2-highcpu-16 | 16 | -48.00 | 16 | Intel AMD | -0.17 | 0.48 | -124.19 | 350.39 | Compare |
| e2-highmem-16 | 16 | +64.00 | 128 | Intel AMD | +0.23 | 0.8769 | +165.58 | 640.16 | Compare |
| e2-standard-16 | 16 | 64 | Intel AMD | 0.6501 | 474.58 | ||||
| n1-highcpu-16 | 16 | -49.60 | 14.4 | Intel | +0.04 | 0.6907 | -121.64 | 352.94 SUD | Compare |
| n1-highmem-16 | 16 | +40.00 | 104 | Intel SAP | +0.50 | 1.153 | +114.63 | 589.21 SUD | Compare |
| n1-standard-16 | 16 | -4.00 | 60 | Intel SAP | +0.28 | 0.926 | -1.40 | 473.18 SUD | Compare |
| n2-highcpu-16 | 16 | -48.00 | 16 | Intel | +0.05 | 0.6956 | -68.23 | 406.35 SUD | Compare |
| n2-highmem-16 | 16 | +64.00 | 128 | Intel SAP | +0.62 | 1.271 | +267.89 | 742.47 SUD | Compare |
| n2-standard-16 | 16 | = | 64 | Intel SAP | +0.29 | 0.9422 | +75.82 | 550.4 SUD | Compare |
| n2d-highcpu-16 | 16 | -48.00 | 16 | AMD | -0.06 | 0.5856 | -132.49 | 342.09 SUD | Compare |
| n2d-highmem-16 | 16 | +64.00 | 128 | AMD SAP | +0.42 | 1.07 | +150.47 | 625.05 SUD | Compare |
| n2d-standard-16 | 16 | = | 64 | AMD SAP | +0.14 | 0.7932 | -11.22 | 463.36 SUD | Compare |
| t2a-standard-16 | 16 | = | 64 | Arm | +0.03 | 0.6845 | +25.13 | 499.71 | Compare |
| t2d-standard-16 | 16 | = | 64 | AMD SAP | +0.13 | 0.7804 | +95.09 | 569.67 | Compare |