Google Compute Engine Machine Type c2d-highmem-16
Compute-optimized Google Compute Engine machine type c2d-highmem-16 with 16 vCPU and 128 GB memory. GCE machine type c2d-highmem-16 is certified for SAP applications on Google Cloud Platform. Available in 30 Google Cloud regions.
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Google Cloud VM c2d-highmem-16
Technical facts about the Google Compute Engine machine type c2d-highmem-16.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 16 |
| Memory | 128 GB |
| CPU Manufactur | AMD |
| CPU Platform |
|
| CPU Base Frequency | 2.45 GHz |
| CPU Turbo Frequency | 2.8 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 354656 |
| EEMBC CoreMark Standard Deviation | 0.89 % |
| EEMBC CoreMark Sample Count | 317 |
| SAP Standard Benchmark (?) | 28343 |
| 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, 128 GB RAM |
Costs (Pricing) for c2d-highmem-16
Cost and pricing across all regions for Google Cloud VM c2d-highmem-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.6467 | 1.1773 | 1.5676 |
| Spot provisioning model (Spot VM) | 0.1152 | 0.2303 | 0.3676 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 472.06 | 859.46 | 1144.36 |
| Spot provisioning model (Spot VM) | 84.1 | 168.15 | 268.31 |
| 1 year commitment (CUD) | 297.37 | 541.43 | 720.91 |
| 3 year commitment (CUD) | 212.34 | 387.16 | 514.87 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-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 c2d-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 59%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| asia-south1 | Mumbai | 3 | 1 | 0.6467 | 0.2589 | 472.06 | 297.37 | 212.34 |
| us-central1 | Iowa 🍃 | 4 | 1 | 0.9798 | 0.2592 | 715.22 | 450.57 | 321.8 |
| us-east1 | South Carolina | 3 | 1 | 0.9798 | 0.2592 | 715.22 | 450.57 | 321.8 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.9798 | 0.2592 | 715.22 | 450.57 | 321.8 |
| me-west1 | Tel Aviv | 1 | 1 | 1.0777 | 0.2822 | 786.75 | 495.62 | 353.98 |
| africa-south1 | Johannesburg | 3 | 1 | 1.0788 | 0.2028 | 787.5 | 496.11 | 354.32 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 1.0788 | 0.1262 | 787.5 | 496.11 | 354.32 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 1.0788 | 0.3278 | 787.5 | 496.11 | 354.32 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 1.0788 | 0.25 | 787.5 | 496.11 | 354.32 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 1.0788 | 0.1976 | 787.5 | 496.11 | 354.32 |
| us-east4 | Northern Virginia | 3 | 1 | 1.1034 | 0.3087 | 805.45 | 507.48 | 362.44 |
| us-west4 | Las Vegas | 3 | 1 | 1.1034 | 0.1812 | 805.45 | 507.48 | 362.44 |
| asia-east1 | Taiwan | 3 | 1 | 1.1344 | 0.2903 | 828.15 | 521.73 | 372.69 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 1.1561 | 0.1577 | 843.97 | 531.67 | 379.72 |
| asia-south2 | Delhi | 2 | 1 | 1.1768 | 0.1642 | 859.04 | 541.13 | 386.58 |
| us-west2 | Los Angeles | 2 | 1 | 1.1777 | 0.2222 | 859.75 | 541.62 | 386.84 |
| us-west3 | Salt Lake City | 1 | 1 | 1.1777 | 0.2126 | 859.75 | 541.62 | 386.84 |
| europe-central2 | Warsaw | 2 | 1 | 1.1868 | 0.1451 | 866.33 | 545.21 | 402.49 |
| asia-southeast1 | Singapore | 3 | 1 | 1.2087 | 0.3566 | 882.34 | 555.89 | 397.07 |
| asia-northeast1 | Tokyo | 2 | 1 | 1.2582 | 0.3529 | 918.47 | 578.64 | 413.33 |
| asia-northeast2 | Osaka | 2 | 1 | 1.2582 | 0.138 | 918.47 | 578.64 | 413.33 |
| asia-northeast3 | Seoul | 3 | 1 | 1.2582 | 0.1508 | 918.47 | 578.64 | 413.33 |
| europe-west2 | London 🍃 | 3 | 1 | 1.2622 | 0.3676 | 921.41 | 580.5 | 414.64 |
| europe-west3 | Frankfurt | 3 | 1 | 1.2622 | 0.3179 | 921.41 | 580.5 | 414.64 |
| europe-west12 | Turin | 1 | 1 | 1.2639 | 0.1152 | 922.64 | 581.23 | 415.12 |
| asia-east2 | Hong Kong | 1 | 1 | 1.3705 | 0.2241 | 1000.5 | 630.32 | 450.22 |
| australia-southeast1 | Sydney | 1 | 1 | 1.3907 | 0.2513 | 1015.18 | 639.56 | 456.87 |
| australia-southeast2 | Melbourne | 1 | 1 | 1.3907 | 0.1445 | 1015.18 | 639.56 | 456.87 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 1.5557 | 0.2432 | 1135.65 | 715.45 | 511.07 |
| me-central2 | Dammam | 1 | 1 | 1.5676 | 0.1425 | 1144.36 | 720.91 | 514.87 |