Google Compute Engine Machine Type c2d-highcpu-4
Compute-optimized Google Compute Engine machine type c2d-highcpu-4 with 4 vCPU and 8 GB memory. Available in 31 Google Cloud regions.
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Google Cloud VM c2d-highcpu-4
Technical facts about the Google Compute Engine machine type c2d-highcpu-4.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 4 |
| Memory | 8 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 (?) | 86953 |
| EEMBC CoreMark Standard Deviation | 0.72 % |
| EEMBC CoreMark Sample Count | 1176 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 10 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ Optional |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 4 vCPUs, 8 GB RAM |
Costs (Pricing) for c2d-highcpu-4
Cost and pricing across all regions for Google Cloud VM c2d-highcpu-4.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.099 | 0.18 | 0.2399 |
| Spot provisioning model (Spot VM) | 0.0188 | 0.0394 | 0.0843 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 72.23 | 131.37 | 175.11 |
| Spot provisioning model (Spot VM) | 13.7 | 28.75 | 61.53 |
| 1 year commitment (CUD) | 45.51 | 82.76 | 110.32 |
| 3 year commitment (CUD) | 32.5 | 59.14 | 78.79 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-4.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 134.32 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 42.05 | 42.05 | 42.05 |
| SUSE Linux Enterprise Server for SAP | 248.2 | 100.01 | 89.42 |
| Red Hat Enterprise Linux for SAP | 65.7 | 65.7 | 65.7 |
Price per Region
Costs and pricing for Google Compute Engine machine type c2d-highcpu-4 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 | 0.099 | 0.0321 | 72.23 | 45.51 | 32.5 |
| us-central1 | Iowa 🍃 | 4 | 1 | 0.1499 | 0.0554 | 109.44 | 68.95 | 49.25 |
| us-east1 | South Carolina | 3 | 1 | 0.1499 | 0.0554 | 109.44 | 68.95 | 49.25 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.1499 | 0.0554 | 109.44 | 68.95 | 49.25 |
| me-west1 | Tel Aviv | 1 | 1 | 0.1649 | 0.055 | 120.39 | 75.84 | 54.17 |
| africa-south1 | Johannesburg | 3 | 1 | 0.1651 | 0.0356 | 120.51 | 75.92 | 54.22 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.1651 | 0.0222 | 120.51 | 75.92 | 54.22 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.1651 | 0.0605 | 120.51 | 75.92 | 54.22 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.1651 | 0.044 | 120.51 | 75.92 | 54.22 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.1651 | 0.033 | 120.51 | 75.92 | 54.22 |
| us-east4 | Northern Virginia | 3 | 1 | 0.1688 | 0.0445 | 123.26 | 77.66 | 55.47 |
| us-west4 | Las Vegas | 3 | 1 | 0.1688 | 0.0274 | 123.26 | 77.66 | 55.47 |
| asia-east1 | Taiwan | 3 | 1 | 0.1736 | 0.0361 | 126.73 | 79.84 | 57.03 |
| europe-west8 | Milan | 1 | 1 | 0.1739 | 0.0281 | 126.96 | 79.98 | 57.13 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 0.1769 | 0.029 | 129.14 | 81.36 | 58.11 |
| asia-south2 | Delhi | 2 | 1 | 0.1801 | 0.0302 | 131.45 | 82.81 | 59.15 |
| us-west2 | Los Angeles | 2 | 1 | 0.1802 | 0.039 | 131.56 | 82.88 | 59.2 |
| us-west3 | Salt Lake City | 1 | 1 | 0.1802 | 0.0188 | 131.56 | 82.88 | 59.2 |
| europe-central2 | Warsaw | 2 | 1 | 0.1815 | 0.0255 | 132.49 | 83.43 | 60.41 |
| asia-southeast1 | Singapore | 3 | 1 | 0.185 | 0.0843 | 135.02 | 85.06 | 60.76 |
| asia-northeast1 | Tokyo | 2 | 1 | 0.1925 | 0.0724 | 140.55 | 88.54 | 63.25 |
| asia-northeast2 | Osaka | 3 | 1 | 0.1925 | 0.0266 | 140.55 | 88.54 | 63.25 |
| asia-northeast3 | Seoul | 3 | 1 | 0.1925 | 0.0307 | 140.55 | 88.54 | 63.25 |
| europe-west2 | London 🍃 | 3 | 1 | 0.1932 | 0.0646 | 141 | 88.83 | 63.45 |
| europe-west3 | Frankfurt | 3 | 1 | 0.1932 | 0.0486 | 141 | 88.83 | 63.45 |
| europe-west12 | Turin | 1 | 1 | 0.1934 | 0.0268 | 141.18 | 88.94 | 63.53 |
| asia-east2 | Hong Kong | 1 | 1 | 0.2097 | 0.0356 | 153.1 | 96.45 | 68.89 |
| australia-southeast1 | Sydney | 1 | 1 | 0.2128 | 0.0222 | 155.35 | 97.87 | 69.91 |
| australia-southeast2 | Melbourne | 1 | 1 | 0.2128 | 0.0256 | 155.35 | 97.87 | 69.91 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.2381 | 0.035 | 173.78 | 109.48 | 78.2 |
| me-central2 | Dammam | 1 | 1 | 0.2399 | 0.0218 | 175.11 | 110.32 | 78.79 |