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 19 Google Cloud regions.
✅ Instance Picker with filter on machine type c2d-highmem-112 Compare machine type c2d-highmem-112
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 | ✔️ |
| 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 | 7.9134 | 10.8898 |
| Spot provisioning model (Spot VM) | 0.7112 | 1.8949 | 2.8078 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 3304.41 | 5776.77 | 7949.52 |
| Spot provisioning model (Spot VM) | 519.18 | 1383.25 | 2049.72 |
| 1 year commitment (CUD) | 2081.61 | 3639.31 | 5008.13 |
| 3 year commitment (CUD) | 1486.4 | 2599.4 | 3577.49 |
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 58%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| asia-south1 | Mumbai | 3 | 1 | 4.5266 | 0.7112 | 3304.41 | 2081.61 | 1486.4 |
| us-central1 | Iowa 🍃 | 5 | 1 | 6.8583 | 1.7087 | 5006.57 | 3153.97 | 2252.57 |
| us-east1 | South Carolina | 3 | 1 | 6.8583 | 1.7087 | 5006.57 | 3153.97 | 2252.57 |
| us-west1 | Oregon 🍃 | 3 | 1 | 6.8583 | 1.7087 | 5006.57 | 3153.97 | 2252.57 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 7.5514 | 1.1852 | 5512.5 | 3472.76 | 2480.27 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 7.5514 | 2.0635 | 5512.5 | 3472.76 | 2480.27 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 7.5514 | 1.5541 | 5512.5 | 3472.76 | 2480.27 |
| us-east4 | Northern Virginia | 3 | 1 | 7.7235 | 2.7521 | 5638.17 | 3552.39 | 2537.09 |
| us-west4 | Las Vegas | 3 | 1 | 7.7235 | 1.9627 | 5638.17 | 3552.39 | 2537.09 |
| asia-east1 | Taiwan | 3 | 1 | 7.9411 | 2.8078 | 5797.03 | 3652.14 | 2608.8 |
| europe-southwest1 | Madrid 🍃 | 1 | 1 | 8.0928 | 1.9583 | 5907.76 | 3721.69 | 2658.03 |
| asia-south2 | Delhi | 2 | 1 | 8.2374 | 1.6939 | 6013.28 | 3787.94 | 2706.09 |
| us-west3 | Salt Lake City | 1 | 1 | 8.2442 | 1.9954 | 6018.27 | 3791.37 | 2707.89 |
| asia-southeast1 | Singapore | 3 | 1 | 8.4608 | 1.5528 | 6176.4 | 3891.2 | 2779.51 |
| asia-northeast1 | Tokyo | 1 | 1 | 8.8072 | 2.131 | 6429.28 | 4050.47 | 2893.32 |
| asia-northeast2 | Osaka | 1 | 1 | 8.8072 | 2.131 | 6429.28 | 4050.47 | 2893.32 |
| europe-west2 | London 🍃 | 3 | 1 | 8.8355 | 1.9927 | 6449.88 | 4063.47 | 2902.48 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 8.8355 | 2.1441 | 6449.88 | 4063.47 | 2902.48 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 10.8898 | 2.2404 | 7949.52 | 5008.13 | 3577.49 |