Google Compute Engine Machine Type c2d-highcpu-56
Compute-optimized Google Compute Engine machine type c2d-highcpu-56 with 56 vCPU and 112 GB memory. Available in 31 Google Cloud regions.
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Google Cloud VM c2d-highcpu-56
Technical facts about the Google Compute Engine machine type c2d-highcpu-56.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 56 |
| Memory | 112 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 (?) | 1244008 |
| EEMBC CoreMark Standard Deviation | 0.56 % |
| EEMBC CoreMark Sample Count | 92 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 512 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 | 56 vCPUs, 112 GB RAM |
Costs (Pricing) for c2d-highcpu-56
Cost and pricing across all regions for Google Cloud VM c2d-highcpu-56.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 1.3853 | 2.5194 | 3.3583 |
| Spot provisioning model (Spot VM) | 0.2628 | 0.5515 | 1.18 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 1011.29 | 1839.16 | 2451.56 |
| Spot provisioning model (Spot VM) | 191.81 | 402.56 | 861.42 |
| 1 year commitment (CUD) | 637.07 | 1158.64 | 1544.41 |
| 3 year commitment (CUD) | 454.99 | 827.96 | 1103.11 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-56.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1880.48 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 441.5 | 441.5 | 441.5 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 664.3 | 664.3 | 664.3 |
Price per Region
Costs and pricing for Google Compute Engine machine type c2d-highcpu-56 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 | 1.3853 | 0.4493 | 1011.29 | 637.07 | 454.99 |
| us-central1 | Iowa 🍃 | 4 | 1 | 2.0989 | 0.7754 | 1532.22 | 965.26 | 689.44 |
| us-east1 | South Carolina | 3 | 1 | 2.0989 | 0.7754 | 1532.22 | 965.26 | 689.44 |
| us-west1 | Oregon 🍃 | 3 | 1 | 2.0989 | 0.7754 | 1532.22 | 965.26 | 689.44 |
| me-west1 | Tel Aviv | 1 | 1 | 2.3088 | 0.7702 | 1685.45 | 1061.78 | 758.39 |
| africa-south1 | Johannesburg | 3 | 1 | 2.3111 | 0.4984 | 1687.08 | 1062.84 | 759.14 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 2.3111 | 0.311 | 1687.08 | 1062.84 | 759.14 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 2.3111 | 0.8471 | 1687.08 | 1062.84 | 759.14 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 2.3111 | 0.6157 | 1687.08 | 1062.84 | 759.14 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 2.3111 | 0.4614 | 1687.08 | 1062.84 | 759.14 |
| us-east4 | Northern Virginia | 3 | 1 | 2.3639 | 0.6226 | 1725.63 | 1087.2 | 776.52 |
| us-west4 | Las Vegas | 3 | 1 | 2.3639 | 0.3833 | 1725.63 | 1087.2 | 776.52 |
| asia-east1 | Taiwan | 3 | 1 | 2.4303 | 0.5048 | 1774.15 | 1117.7 | 798.39 |
| europe-west8 | Milan | 1 | 1 | 2.4348 | 0.3935 | 1777.38 | 1119.7 | 799.75 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 2.4767 | 0.406 | 1808.02 | 1139.01 | 813.54 |
| asia-south2 | Delhi | 2 | 1 | 2.521 | 0.4232 | 1840.34 | 1159.36 | 828.15 |
| us-west2 | Los Angeles | 2 | 1 | 2.5231 | 0.5461 | 1841.85 | 1160.34 | 828.8 |
| us-west3 | Salt Lake City | 1 | 1 | 2.5231 | 0.2628 | 1841.85 | 1160.34 | 828.8 |
| europe-central2 | Warsaw | 2 | 1 | 2.5408 | 0.3572 | 1854.81 | 1167.98 | 845.81 |
| asia-southeast1 | Singapore | 3 | 1 | 2.5894 | 1.18 | 1890.25 | 1190.88 | 850.63 |
| asia-northeast1 | Tokyo | 2 | 1 | 2.6954 | 1.0138 | 1967.64 | 1239.6 | 885.46 |
| asia-northeast2 | Osaka | 3 | 1 | 2.6954 | 0.3721 | 1967.64 | 1239.6 | 885.46 |
| asia-northeast3 | Seoul | 3 | 1 | 2.6954 | 0.4295 | 1967.64 | 1239.6 | 885.46 |
| europe-west2 | London 🍃 | 3 | 1 | 2.7041 | 0.9044 | 1974.01 | 1243.65 | 888.32 |
| europe-west3 | Frankfurt | 3 | 1 | 2.7041 | 0.6801 | 1974.01 | 1243.65 | 888.32 |
| europe-west12 | Turin | 1 | 1 | 2.7076 | 0.3748 | 1976.57 | 1245.18 | 889.38 |
| asia-east2 | Hong Kong | 1 | 1 | 2.9361 | 0.4985 | 2143.38 | 1350.35 | 964.52 |
| australia-southeast1 | Sydney | 1 | 1 | 2.9793 | 0.3104 | 2174.9 | 1370.17 | 978.75 |
| australia-southeast2 | Melbourne | 1 | 1 | 2.9793 | 0.3577 | 2174.9 | 1370.17 | 978.75 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 3.3328 | 0.4906 | 2432.93 | 1532.75 | 1094.85 |
| me-central2 | Dammam | 1 | 1 | 3.3583 | 0.3046 | 2451.56 | 1544.41 | 1103.11 |