Google Compute Engine Machine Type c2d-highmem-112
Compute-optimized Google Compute Engine machine type c2d-highmem-112 with 112 vCPU and 896 GB memory. GCE machine type c2d-highmem-112 is certified for SAP applications on Google Cloud Platform. Available in 31 Google Cloud regions.
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Google Cloud VM c2d-highmem-112
Technical facts about the Google Compute Engine machine type c2d-highmem-112.
| Series | C2D |
|---|---|
| Family | Compute-optimized |
| vCPU | 112 |
| Memory | 896 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 (?) | 2294226 |
| EEMBC CoreMark Standard Deviation | 0.78 % |
| EEMBC CoreMark Sample Count | 40 |
| SAP Standard Benchmark (?) | 190150 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 100 Gbps |
| Max. Disk Size | 512 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 | 112 vCPUs, 896 GB RAM |
Costs (Pricing) for c2d-highmem-112
Cost and pricing across all regions for Google Cloud VM c2d-highmem-112.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 4.5266 | 8.2322 | 10.9733 |
| Spot provisioning model (Spot VM) | 0.8371 | 1.5597 | 2.7601 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 3304.41 | 6009.52 | 8010.52 |
| Spot provisioning model (Spot VM) | 611.07 | 1138.61 | 2014.89 |
| 1 year commitment (CUD) | 2081.61 | 3785.8 | 5046.36 |
| 3 year commitment (CUD) | 1486.4 | 2706.98 | 3604.11 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highmem-112.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 3760.96 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 883.01 | 883.01 | 883.01 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 1328.6 | 1328.6 | 1328.6 |
Price per Region
Costs and pricing for Google Compute Engine machine type c2d-highmem-112 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 | 4.5266 | 1.8021 | 3304.41 | 2081.61 | 1486.4 |
| us-central1 | Iowa 🍃 | 4 | 1 | 6.8583 | 1.8119 | 5006.57 | 3153.97 | 2252.57 |
| us-east1 | South Carolina | 3 | 1 | 6.8583 | 1.8119 | 5006.57 | 3153.97 | 2252.57 |
| us-west1 | Oregon 🍃 | 3 | 1 | 6.8583 | 1.8119 | 5006.57 | 3153.97 | 2252.57 |
| me-west1 | Tel Aviv | 1 | 1 | 7.5442 | 1.9905 | 5507.23 | 3469.37 | 2477.83 |
| africa-south1 | Johannesburg | 3 | 1 | 7.5514 | 1.1117 | 5512.5 | 3472.76 | 2480.27 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 7.5514 | 0.8817 | 5512.5 | 3472.76 | 2480.27 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 7.5514 | 2.5339 | 5512.5 | 3472.76 | 2480.27 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 7.5514 | 1.932 | 5512.5 | 3472.76 | 2480.27 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 7.5514 | 1.2486 | 5512.5 | 3472.76 | 2480.27 |
| us-east4 | Northern Virginia | 3 | 1 | 7.7235 | 1.9508 | 5638.17 | 3552.39 | 2537.09 |
| us-west4 | Las Vegas | 3 | 1 | 7.7235 | 1.1455 | 5638.17 | 3552.39 | 2537.09 |
| asia-east1 | Taiwan | 3 | 1 | 7.9411 | 1.8328 | 5797.03 | 3652.14 | 2608.8 |
| europe-west8 | Milan | 1 | 1 | 7.9557 | 1.0165 | 5807.63 | 3658.61 | 2612.98 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 8.0928 | 1.1505 | 5907.76 | 3721.69 | 2658.03 |
| asia-south2 | Delhi | 2 | 1 | 8.2374 | 1.1455 | 6013.28 | 3787.94 | 2706.09 |
| us-west2 | Los Angeles | 2 | 1 | 8.2442 | 1.5501 | 6018.27 | 3791.37 | 2707.89 |
| us-west3 | Salt Lake City | 1 | 1 | 8.2442 | 1.0532 | 6018.27 | 3791.37 | 2707.89 |
| europe-central2 | Warsaw | 2 | 1 | 8.3073 | 1.0125 | 6064.3 | 3816.48 | 2817.45 |
| asia-southeast1 | Singapore | 3 | 1 | 8.4608 | 2.7601 | 6176.4 | 3891.2 | 2779.51 |
| asia-northeast1 | Tokyo | 2 | 1 | 8.8072 | 2.7234 | 6429.28 | 4050.47 | 2893.32 |
| asia-northeast2 | Osaka | 3 | 1 | 8.8072 | 0.8718 | 6429.28 | 4050.47 | 2893.32 |
| asia-northeast3 | Seoul | 3 | 1 | 8.8072 | 1.1623 | 6429.28 | 4050.47 | 2893.32 |
| europe-west2 | London 🍃 | 3 | 1 | 8.8355 | 2.5637 | 6449.88 | 4063.47 | 2902.48 |
| europe-west3 | Frankfurt | 3 | 1 | 8.8355 | 2.2254 | 6449.88 | 4063.47 | 2902.48 |
| europe-west12 | Turin | 1 | 1 | 8.8472 | 0.8371 | 6458.48 | 4068.63 | 2905.81 |
| asia-east2 | Hong Kong | 1 | 1 | 9.5938 | 1.5651 | 7003.48 | 4412.26 | 3151.52 |
| australia-southeast1 | Sydney | 1 | 1 | 9.7346 | 1.2457 | 7106.25 | 4476.93 | 3198.12 |
| australia-southeast2 | Melbourne | 1 | 1 | 9.7346 | 0.9115 | 7106.25 | 4476.93 | 3198.12 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 10.8898 | 1.6999 | 7949.52 | 5008.13 | 3577.49 |
| me-central2 | Dammam | 1 | 1 | 10.9733 | 0.9923 | 8010.52 | 5046.36 | 3604.11 |