Google Compute Engine Machine Type c2d-highmem-8
Compute-optimized Google Compute Engine machine type c2d-highmem-8 with 8 vCPU and 64 GB memory. GCE machine type c2d-highmem-8 is certified for SAP applications on Google Cloud Platform. Available in 30 Google Cloud regions.
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Google Cloud VM c2d-highmem-8
Technical facts about the Google Compute Engine machine type c2d-highmem-8.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 8 |
| Memory | 64 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 (?) | 177882 |
| EEMBC CoreMark Standard Deviation | 0.77 % |
| EEMBC CoreMark Sample Count | 596 |
| SAP Standard Benchmark (?) | 14171 |
| Network Bandwidth | 16 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 | 8 vCPUs, 64 GB RAM |
Costs (Pricing) for c2d-highmem-8
Cost and pricing across all regions for Google Cloud VM c2d-highmem-8.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.3233 | 0.5887 | 0.7838 |
| Spot provisioning model (Spot VM) | 0.0576 | 0.1152 | 0.1838 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 236.03 | 429.73 | 572.18 |
| Spot provisioning model (Spot VM) | 42.05 | 84.07 | 134.16 |
| 1 year commitment (CUD) | 148.69 | 270.72 | 360.45 |
| 3 year commitment (CUD) | 106.17 | 193.58 | 257.44 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highmem-8.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 268.64 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 84.1 | 84.1 | 84.1 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 131.4 | 131.4 | 131.4 |
Price per Region
Costs and pricing for Google Compute Engine machine type c2d-highmem-8 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 | 0.3233 | 0.1295 | 236.03 | 148.69 | 106.17 |
| us-central1 | Iowa 🍃 | 4 | 1 | 0.4899 | 0.1296 | 357.61 | 225.28 | 160.9 |
| us-east1 | South Carolina | 3 | 1 | 0.4899 | 0.1296 | 357.61 | 225.28 | 160.9 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.4899 | 0.1296 | 357.61 | 225.28 | 160.9 |
| me-west1 | Tel Aviv | 1 | 1 | 0.5389 | 0.1411 | 393.37 | 247.81 | 176.99 |
| africa-south1 | Johannesburg | 3 | 1 | 0.5394 | 0.1014 | 393.75 | 248.05 | 177.16 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.5394 | 0.0631 | 393.75 | 248.05 | 177.16 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.5394 | 0.1639 | 393.75 | 248.05 | 177.16 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.5394 | 0.125 | 393.75 | 248.05 | 177.16 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.5394 | 0.0988 | 393.75 | 248.05 | 177.16 |
| us-east4 | Northern Virginia | 3 | 1 | 0.5517 | 0.1544 | 402.73 | 253.74 | 181.22 |
| us-west4 | Las Vegas | 3 | 1 | 0.5517 | 0.0906 | 402.73 | 253.74 | 181.22 |
| asia-east1 | Taiwan | 3 | 1 | 0.5672 | 0.1452 | 414.07 | 260.87 | 186.34 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 0.5781 | 0.0789 | 421.98 | 265.83 | 189.86 |
| asia-south2 | Delhi | 2 | 1 | 0.5884 | 0.0821 | 429.52 | 270.57 | 193.29 |
| us-west2 | Los Angeles | 2 | 1 | 0.5889 | 0.1111 | 429.88 | 270.81 | 193.42 |
| us-west3 | Salt Lake City | 1 | 1 | 0.5889 | 0.1063 | 429.88 | 270.81 | 193.42 |
| europe-central2 | Warsaw | 2 | 1 | 0.5934 | 0.0725 | 433.16 | 272.61 | 201.25 |
| asia-southeast1 | Singapore | 3 | 1 | 0.6043 | 0.1783 | 441.17 | 277.94 | 198.54 |
| asia-northeast1 | Tokyo | 2 | 1 | 0.6291 | 0.1765 | 459.23 | 289.32 | 206.67 |
| asia-northeast2 | Osaka | 3 | 1 | 0.6291 | 0.069 | 459.23 | 289.32 | 206.67 |
| asia-northeast3 | Seoul | 3 | 1 | 0.6291 | 0.0754 | 459.23 | 289.32 | 206.67 |
| europe-west2 | London 🍃 | 3 | 1 | 0.6311 | 0.1838 | 460.71 | 290.25 | 207.32 |
| europe-west3 | Frankfurt | 3 | 1 | 0.6311 | 0.159 | 460.71 | 290.25 | 207.32 |
| europe-west12 | Turin | 1 | 1 | 0.6319 | 0.0576 | 461.32 | 290.62 | 207.56 |
| asia-east2 | Hong Kong | 1 | 1 | 0.6853 | 0.1121 | 500.25 | 315.16 | 225.11 |
| australia-southeast1 | Sydney | 1 | 1 | 0.6953 | 0.1256 | 507.59 | 319.78 | 228.44 |
| australia-southeast2 | Melbourne | 1 | 1 | 0.6953 | 0.0723 | 507.59 | 319.78 | 228.44 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.7778 | 0.1216 | 567.82 | 357.72 | 255.54 |
| me-central2 | Dammam | 1 | 1 | 0.7838 | 0.0713 | 572.18 | 360.45 | 257.44 |