Google Compute Engine Machine Type c2d-highcpu-16
Compute-optimized Google Compute Engine machine type c2d-highcpu-16 with 16 vCPU and 32 GB memory. Available in 31 Google Cloud regions.
✅ Instance Picker with filter on machine type c2d-highcpu-16 Compare machine type c2d-highcpu-16
Google Cloud VM c2d-highcpu-16
Technical facts about the Google Compute Engine machine type c2d-highcpu-16.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 16 |
| Memory | 32 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 (?) | 354771 |
| EEMBC CoreMark Standard Deviation | 0.79 % |
| EEMBC CoreMark Sample Count | 308 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 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 | 16 vCPUs, 32 GB RAM |
Costs (Pricing) for c2d-highcpu-16
Cost and pricing across all regions for Google Cloud VM c2d-highcpu-16.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.3958 | 0.7198 | 0.9595 |
| Spot provisioning model (Spot VM) | 0.0732 | 0.1408 | 0.2534 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 288.94 | 525.47 | 700.44 |
| Spot provisioning model (Spot VM) | 53.47 | 102.76 | 184.96 |
| 1 year commitment (CUD) | 182.02 | 331.04 | 441.26 |
| 3 year commitment (CUD) | 130 | 236.56 | 315.17 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-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-highcpu-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 | 0.3958 | 0.1497 | 288.94 | 182.02 | 130 |
| us-central1 | Iowa 🍃 | 4 | 1 | 0.5997 | 0.1743 | 437.78 | 275.79 | 196.98 |
| us-east1 | South Carolina | 3 | 1 | 0.5997 | 0.1743 | 437.78 | 275.79 | 196.98 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.5997 | 0.1743 | 437.78 | 275.79 | 196.98 |
| me-west1 | Tel Aviv | 1 | 1 | 0.6597 | 0.1915 | 481.56 | 303.37 | 216.68 |
| africa-south1 | Johannesburg | 3 | 1 | 0.6603 | 0.1069 | 482.02 | 303.67 | 216.9 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.6603 | 0.0732 | 482.02 | 303.67 | 216.9 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.6603 | 0.2438 | 482.02 | 303.67 | 216.9 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.6603 | 0.1604 | 482.02 | 303.67 | 216.9 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.6603 | 0.1038 | 482.02 | 303.67 | 216.9 |
| us-east4 | Northern Virginia | 3 | 1 | 0.6754 | 0.1791 | 493.04 | 310.63 | 221.86 |
| us-west4 | Las Vegas | 3 | 1 | 0.6754 | 0.1101 | 493.04 | 310.63 | 221.86 |
| asia-east1 | Taiwan | 3 | 1 | 0.6944 | 0.1684 | 506.9 | 319.34 | 228.11 |
| europe-west8 | Milan | 1 | 1 | 0.6956 | 0.0844 | 507.82 | 319.91 | 228.5 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 0.7076 | 0.0956 | 516.58 | 325.43 | 232.44 |
| asia-south2 | Delhi | 2 | 1 | 0.7203 | 0.0951 | 525.81 | 331.24 | 236.61 |
| us-west2 | Los Angeles | 2 | 1 | 0.7209 | 0.1288 | 526.24 | 331.53 | 236.8 |
| us-west3 | Salt Lake City | 1 | 1 | 0.7209 | 0.0875 | 526.24 | 331.53 | 236.8 |
| europe-central2 | Warsaw | 2 | 1 | 0.726 | 0.084 | 529.94 | 333.71 | 241.66 |
| asia-southeast1 | Singapore | 3 | 1 | 0.7398 | 0.2534 | 540.07 | 340.25 | 243.04 |
| asia-northeast1 | Tokyo | 2 | 1 | 0.7701 | 0.2501 | 562.18 | 354.17 | 252.99 |
| asia-northeast2 | Osaka | 3 | 1 | 0.7701 | 0.0838 | 562.18 | 354.17 | 252.99 |
| asia-northeast3 | Seoul | 3 | 1 | 0.7701 | 0.1118 | 562.18 | 354.17 | 252.99 |
| europe-west2 | London 🍃 | 3 | 1 | 0.7726 | 0.2355 | 564 | 355.33 | 253.81 |
| europe-west3 | Frankfurt | 3 | 1 | 0.7726 | 0.2044 | 564 | 355.33 | 253.81 |
| europe-west12 | Turin | 1 | 1 | 0.7736 | 0.0805 | 564.73 | 355.77 | 254.11 |
| asia-east2 | Hong Kong | 1 | 1 | 0.8389 | 0.1505 | 612.39 | 385.81 | 275.58 |
| australia-southeast1 | Sydney | 1 | 1 | 0.8512 | 0.1035 | 621.4 | 391.48 | 279.64 |
| australia-southeast2 | Melbourne | 1 | 1 | 0.8512 | 0.0767 | 621.4 | 391.48 | 279.64 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.9522 | 0.1412 | 695.12 | 437.93 | 312.81 |
| me-central2 | Dammam | 1 | 1 | 0.9595 | 0.087 | 700.44 | 441.26 | 315.17 |