Google Compute Engine Machine Type c4-highmem-288-lssd
General-purpose Google Compute Engine machine type c4-highmem-288-lssd with 288 vCPU and 2232 GB memory. Local SSD storage is required and automatically attached. Additional costs for Local SSD storage are charged. Available in 35 Google Cloud regions.
✅ Instance Picker with filter on machine type c4-highmem-288-lssd Compare machine type c4-highmem-288-lssd
Google Cloud VM c4-highmem-288-lssd
Technical facts about the Google Compute Engine machine type c4-highmem-288-lssd.
| Series | C4 |
|---|---|
| Family | General-purpose |
| vCPU | 288 |
| Memory | 2232 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.8 GHz |
| CPU Turbo Frequency | 3.9 GHz |
| CPU Max. Turbo Frequency | 4.2 GHz |
| EEMBC CoreMark Benchmark (?) | - |
| EEMBC CoreMark Standard Deviation | - |
| EEMBC CoreMark Sample Count | - |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 100 Gbps |
| Network Tier 1 | 200 Gbps |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ Mandatory, additional costs! |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 288 vCPUs, 2232 GB RAM, 48 local SSDs |
Costs (Pricing) for c4-highmem-288-lssd
Cost and pricing across all regions for Google Cloud VM c4-highmem-288-lssd.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 19.7068 | 26.3834 | 36.0675 |
| Spot provisioning model (Spot VM) | 5.023 | 11.469 | 16.2704 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 14385.93 | 19259.86 | 26329.27 |
| Spot provisioning model (Spot VM) | 3666.81 | 8372.37 | 11877.38 |
| 1 year commitment (CUD) | 9063.18 | 12133.92 | 16587.8 |
| 3 year commitment (CUD) | 6474.5 | 8666.87 | 11848.13 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-highmem-288-lssd.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 9671.04 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 2018.3 | 2018.3 | 2018.3 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 3153.6 | 3153.6 | 3153.6 |
Price per Region
Costs and pricing for Google Compute Engine machine type c4-highmem-288-lssd in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 45%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| asia-southeast3 | Bangkok | 3 | 2 | 19.7068 | 6.072 | 14385.93 | 9063.18 | 6474.5 |
| us-central1 | Iowa 🍃 | 4 | 2 | 22.714 | 13.6289 | 16581.24 | 10446.38 | 7461.5 |
| us-east1 | South Carolina | 3 | 2 | 22.714 | 13.6289 | 16581.24 | 10446.38 | 7461.5 |
| us-east4 | Northern Virginia | 3 | 2 | 22.714 | 13.6289 | 16581.24 | 10446.38 | 7461.5 |
| us-east5 | Columbus | 3 | 2 | 22.714 | 13.0587 | 16581.24 | 10446.38 | 7461.5 |
| us-west1 | Oregon 🍃 | 3 | 2 | 22.714 | 13.6289 | 16581.24 | 10446.38 | 7461.5 |
| asia-south1 | Mumbai | 1 | 2 | 23.6226 | 11.8451 | 17244.49 | 10864.2 | 7759.96 |
| asia-south2 | Delhi | 3 | 2 | 23.6232 | 10.8838 | 17244.93 | 10864.48 | 7760.16 |
| europe-north2 | Stockholm 🍃 | 1 | 2 | 23.8497 | 10.7629 | 17410.3 | 10968.7 | 7834.57 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 23.8497 | 8.6058 | 17410.3 | 10968.7 | 7834.57 |
| northamerica-south1 | Mexico | 3 | 2 | 24.7583 | 8.9362 | 18073.55 | 11386.52 | 8133.03 |
| africa-south1 | Johannesburg | 3 | 2 | 25.0105 | 13.7222 | 18257.67 | 11502.49 | 8215.87 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 25.0105 | 13.7123 | 18257.67 | 11502.49 | 8215.87 |
| northamerica-northeast1 | Montréal 🍃 | 1 | 2 | 25.0105 | 5.023 | 18257.67 | 11502.49 | 8215.87 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 2 | 25.0105 | 11.7946 | 18257.67 | 11502.49 | 8215.87 |
| us-west4 | Las Vegas | 2 | 2 | 25.5829 | 13.3613 | 18675.48 | 11765.74 | 8403.82 |
| europe-west2 | London 🍃 | 3 | 2 | 25.894 | 9.5242 | 18902.61 | 11908.84 | 8506.11 |
| asia-east1 | Taiwan | 2 | 2 | 26.3005 | 14.3555 | 19199.34 | 12095.93 | 8639.69 |
| europe-west8 | Milan | 2 | 2 | 26.3483 | 11.893 | 19234.23 | 12117.84 | 8655.34 |
| europe-west9 | Paris 🍃 | 1 | 2 | 26.3483 | 5.8608 | 19234.23 | 12117.84 | 8655.34 |
| europe-southwest1 | Madrid 🍃 | 1 | 2 | 26.8025 | 7.95 | 19565.86 | 12326.66 | 8804.57 |
| europe-west3 | Frankfurt | 3 | 2 | 26.8025 | 10.6743 | 19565.86 | 12326.66 | 8804.57 |
| us-south1 | Dallas 🍃 | 2 | 2 | 26.8025 | 8.916 | 19565.86 | 12326.66 | 8804.57 |
| us-west2 | Los Angeles | 1 | 2 | 27.3046 | 9.2969 | 19932.38 | 12557.56 | 8969.45 |
| us-west3 | Salt Lake City | 2 | 2 | 27.3046 | 11.6381 | 19932.38 | 12557.56 | 8969.45 |
| asia-southeast1 | Singapore | 3 | 2 | 28.0222 | 12.9425 | 20456.24 | 12887.76 | 9205.31 |
| australia-southeast1 | Sydney | 1 | 2 | 28.3925 | 12.5438 | 20726.54 | 13057.98 | 9326.87 |
| asia-northeast1 | Tokyo | 2 | 2 | 29.1693 | 15.2663 | 21293.59 | 13415.29 | 9582.01 |
| asia-northeast3 | Seoul | 3 | 2 | 29.1693 | 10.9067 | 21293.59 | 13415.29 | 9582.01 |
| australia-southeast2 | Melbourne | 2 | 2 | 29.5282 | 10.8337 | 21555.61 | 13580.3 | 9699.95 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 29.7567 | 16.2704 | 21722.38 | 13684.76 | 9774.13 |
| asia-southeast2 | Jakarta | 2 | 2 | 30.5435 | 7.4626 | 22296.75 | 14047.33 | 10033.51 |
| asia-east2 | Hong Kong | 2 | 2 | 31.7745 | 14.9638 | 23195.42 | 14613.46 | 10437.88 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 32.4811 | 15.0063 | 23711.17 | 14938.25 | 10669.94 |
| southamerica-east1 | São Paulo 🍃 | 1 | 2 | 36.0675 | 12.8165 | 26329.27 | 16587.8 | 11848.13 |