Google Compute Engine Machine Type e2-highmem-16
Cost-optimized Google Compute Engine machine type e2-highmem-16 with 16 vCPU and 128 GB memory. Available in 34 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM e2-highmem-16
Technical facts about the Google Compute Engine machine type e2-highmem-16.
| Series | E2 |
|---|---|
| Family | Cost-optimized |
| vCPU | 16 |
| Memory | 128 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 (?) | 221049 |
| EEMBC CoreMark Standard Deviation | 2.17 % |
| EEMBC CoreMark Sample Count | 18668 |
| 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, 128 GB RAM |
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Costs (Pricing) for e2-highmem-16
Average cost and pricing across all regions for Google Cloud VM e2-highmem-16.
| Avg. costs per hour | 0.8955 |
|---|---|
| Avg. costs per month | 653.71 |
| Avg. costs per month with 1 year commitment (CUD) | 411.84 |
| Avg. costs per month with 3 year commitment (CUD) | 309.37 |
Costs and pricing for Google Compute Engine machine type e2-highmem-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 | 0.7232 | 527.93 | 332.6 | 237.57 |
| us-east1 | South Carolina | 4 | 4 | 0.7232 | 527.93 | 332.6 | 237.57 |
| us-east5 | Columbus | 3 | 4 | 0.7232 | 527.93 | 332.6 | 237.57 |
| us-west1 | Oregon | 3 | 4 | 0.7232 | 527.93 | 332.6 | 237.57 |
| europe-west1 | Belgium | 3 | 4 | 0.7956 | 580.75 | 365.87 | 261.34 |
| europe-west4 | Netherlands | 3 | 4 | 0.7961 | 581.18 | 366.14 | 261.53 |
| northamerica-northeast1 | Montréal | 3 | 4 | 0.7961 | 581.18 | 366.14 | 261.53 |
| northamerica-northeast2 | Toronto | 3 | 3 | 0.7961 | 581.18 | 366.14 | 261.53 |
| europe-north1 | Finland | 3 | 4 | 0.7962 | 581.21 | 366.16 | 261.55 |
| us-east4 | Northern Virginia | 3 | 4 | 0.8145 | 594.55 | 374.57 | 267.55 |
| us-west4 | Las Vegas | 3 | 3 | 0.8145 | 594.55 | 374.57 | 267.55 |
| asia-east1 | Taiwan | 3 | 4 | 0.8374 | 611.29 | 385.11 | 275.08 |
| us-south1 | Dallas | 3 | 3 | 0.8534 | 622.96 | 392.47 | 392.47 |
| asia-south1 | Mumbai | 3 | 4 | 0.8686 | 634.05 | 399.45 | 285.32 |
| asia-south2 | Delhi | 3 | 3 | 0.8686 | 634.05 | 399.45 | 285.32 |
| us-west2 | Los Angeles | 3 | 4 | 0.8686 | 634.11 | 399.49 | 285.35 |
| us-west3 | Salt Lake City | 3 | 3 | 0.8686 | 634.11 | 399.49 | 285.35 |
| asia-southeast1 | Singapore | 3 | 4 | 0.8921 | 651.24 | 410.28 | 293.06 |
| asia-northeast1 | Tokyo | 3 | 4 | 0.927 | 676.73 | 426.34 | 304.53 |
| asia-northeast2 | Osaka | 3 | 3 | 0.927 | 676.73 | 426.34 | 304.53 |
| asia-northeast3 | Seoul | 3 | 3 | 0.927 | 676.73 | 426.34 | 304.53 |
| europe-central2 | Warsaw | 3 | 3 | 0.9317 | 680.15 | 428.49 | 306.07 |
| europe-west2 | London | 3 | 4 | 0.9317 | 680.15 | 428.49 | 306.07 |
| europe-west3 | Frankfurt | 3 | 4 | 0.9317 | 680.15 | 428.49 | 306.07 |
| asia-southeast2 | Jakarta | 3 | 3 | 0.9724 | 709.85 | 447.21 | 319.43 |
| asia-east2 | Hong Kong | 3 | 4 | 1.0119 | 738.67 | 465.36 | 332.4 |
| europe-west6 | Zurich | 3 | 3 | 1.0119 | 738.67 | 465.36 | 332.4 |
| europe-west9 | Paris | 3 | 4 | 1.0125 | 739.11 | 465.64 | 465.64 |
| australia-southeast1 | Sydney | 3 | 4 | 1.0261 | 749.05 | 471.9 | 337.07 |
| australia-southeast2 | Melbourne | 3 | 3 | 1.0261 | 749.05 | 471.9 | 337.07 |
| europe-southwest1 | Madrid | 3 | 4 | 1.0342 | 754.95 | 475.62 | 475.62 |
| europe-west8 | Milan | 3 | 4 | 1.0342 | 754.95 | 475.62 | 475.62 |
| southamerica-west1 | Santiago | 3 | 3 | 1.0342 | 754.95 | 475.62 | 339.73 |
| southamerica-east1 | São Paulo | 3 | 4 | 1.1479 | 838 | 527.94 | 377.1 |
Operating System Licenses Costs for e2-highmem-16
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type e2-highmem-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 | -64.00 | 64 | Intel SAP | +0.12 | 1.0122 | -62.41 | 591.3 SUD | Compare |
| c2d-highcpu-16 | 16 | -96.00 | 32 | AMD | -0.23 | 0.6614 | -170.91 | 482.8 | Compare |
| c2d-highmem-16 | 16 | = | 128 | AMD SAP | +0.18 | 1.0805 | +135.06 | 788.77 | Compare |
| c2d-standard-16 | 16 | -64.00 | 64 | AMD SAP | -0.09 | 0.8011 | -68.92 | 584.79 | Compare |
| e2-highcpu-16 | 16 | -112.00 | 16 | Intel AMD | -0.41 | 0.4902 | -295.90 | 357.81 | Compare |
| e2-highmem-16 | 16 | 128 | Intel AMD | 0.8955 | 653.71 | ||||
| e2-standard-16 | 16 | -64.00 | 64 | Intel AMD | -0.23 | 0.6639 | -169.09 | 484.62 | Compare |
| n1-highcpu-16 | 16 | -113.60 | 14.4 | Intel | -0.20 | 0.6931 | -299.54 | 354.17 SUD | Compare |
| n1-highmem-16 | 16 | -24.00 | 104 | Intel SAP | +0.26 | 1.157 | -62.46 | 591.25 SUD | Compare |
| n1-standard-16 | 16 | -68.00 | 60 | Intel SAP | +0.03 | 0.9292 | -178.88 | 474.83 SUD | Compare |
| n2-highcpu-16 | 16 | -112.00 | 16 | Intel | -0.20 | 0.6975 | -246.25 | 407.46 SUD | Compare |
| n2-highmem-16 | 16 | = | 128 | Intel SAP | +0.38 | 1.2745 | +90.79 | 744.5 SUD | Compare |
| n2-standard-16 | 16 | -64.00 | 64 | Intel SAP | +0.05 | 0.9448 | -101.80 | 551.91 SUD | Compare |
| n2d-highcpu-16 | 16 | -112.00 | 16 | AMD | -0.31 | 0.5813 | -314.13 | 339.58 SUD | Compare |
| n2d-highmem-16 | 16 | = | 128 | AMD SAP | +0.17 | 1.0622 | -33.26 | 620.45 SUD | Compare |
| n2d-standard-16 | 16 | -64.00 | 64 | AMD SAP | -0.11 | 0.7874 | -193.76 | 459.95 SUD | Compare |
| t2d-standard-16 | 16 | -64.00 | 64 | AMD SAP | -0.10 | 0.7924 | -75.23 | 578.48 | Compare |