If you like this webapp, please give it a star on GitHub! ⭐
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 30 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 | 18.7688 | 21.8141 | 29.803 |
| Spot provisioning model (Spot VM) | 5.92 | 8.1881 | 10.5017 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 13701.24 | 15924.31 | 21756.19 |
| Spot provisioning model (Spot VM) | 4321.59 | 5977.33 | 7666.21 |
| 1 year commitment (CUD) | 8631.98 | 10032.53 | 13706.72 |
| 3 year commitment (CUD) | 6165.5 | 7165.84 | 9790.19 |
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 37%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 2 | 18.7688 | 6.6985 | 13701.24 | 8631.98 | 6165.5 |
| us-east1 | South Carolina | 3 | 2 | 18.7688 | 6.6985 | 13701.24 | 8631.98 | 6165.5 |
| us-east4 | Northern Virginia | 3 | 2 | 18.7688 | 7.0356 | 13701.24 | 8631.98 | 6165.5 |
| us-east5 | Columbus | 3 | 2 | 18.7688 | 6.7183 | 13701.24 | 8631.98 | 6165.5 |
| us-west1 | Oregon 🍃 | 3 | 2 | 18.7688 | 6.6985 | 13701.24 | 8631.98 | 6165.5 |
| asia-south1 | Mumbai | 1 | 2 | 19.5196 | 7.0231 | 14249.29 | 8977.26 | 6412.12 |
| asia-south2 | Delhi | 3 | 2 | 19.5202 | 9.0168 | 14249.73 | 8977.54 | 6412.32 |
| europe-north2 | Stockholm | 1 | 2 | 19.7073 | 7.8824 | 14386.3 | 9063.58 | 6473.77 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 19.7073 | 7.8824 | 14386.3 | 9063.58 | 6473.77 |
| northamerica-south1 | Mexico | 3 | 2 | 20.458 | 8.1827 | 14934.35 | 9408.86 | 6720.39 |
| europe-west1 | Belgium 🍃 | 2 | 2 | 20.6663 | 8.2652 | 15086.43 | 9504.67 | 6788.83 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 2 | 20.6663 | 8.266 | 15086.43 | 9504.67 | 6788.83 |
| us-west4 | Las Vegas | 2 | 2 | 21.1393 | 8.4552 | 15431.7 | 9722.2 | 6944.2 |
| europe-west2 | London 🍃 | 2 | 2 | 21.3965 | 8.5568 | 15619.41 | 9840.46 | 7028.67 |
| asia-east1 | Taiwan | 2 | 2 | 21.7324 | 8.6924 | 15864.66 | 9994.97 | 7139.03 |
| europe-west8 | Milan | 2 | 2 | 21.7718 | 8.7082 | 15893.43 | 10013.1 | 7151.98 |
| europe-west9 | Paris 🍃 | 1 | 2 | 21.7718 | 8.7082 | 15893.43 | 10013.1 | 7151.98 |
| europe-southwest1 | Madrid 🍃 | 1 | 2 | 22.1472 | 7.2591 | 16167.46 | 10185.74 | 7275.29 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 22.1472 | 8.861 | 16167.46 | 10185.74 | 7275.29 |
| us-south1 | Dallas 🍃 | 2 | 2 | 22.1472 | 8.8584 | 16167.46 | 10185.74 | 7275.29 |
| us-west2 | Los Angeles | 1 | 2 | 22.562 | 7.8518 | 16470.26 | 10376.5 | 7411.55 |
| us-west3 | Salt Lake City | 2 | 2 | 22.562 | 7.6694 | 16470.26 | 10376.5 | 7411.55 |
| asia-southeast1 | Singapore | 3 | 2 | 23.1551 | 9.2615 | 16903.22 | 10649.28 | 7606.37 |
| asia-northeast1 | Tokyo | 2 | 2 | 24.1029 | 9.4545 | 17595.13 | 11085.19 | 7917.73 |
| asia-northeast3 | Seoul | 3 | 2 | 24.1029 | 5.92 | 17595.13 | 11085.19 | 7917.73 |
| australia-southeast2 | Melbourne | 1 | 2 | 24.3995 | 9.7592 | 17811.61 | 11221.58 | 8015.15 |
| africa-south1 | Johannesburg | 3 | 2 | 24.5496 | 9.0362 | 17921.22 | 11290.63 | 8064.47 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 24.5885 | 7.5882 | 17949.58 | 11307.86 | 8076.37 |
| asia-east2 | Hong Kong | 2 | 2 | 26.2557 | 10.5017 | 19166.66 | 12075.28 | 8624.92 |
| southamerica-east1 | São Paulo 🍃 | 1 | 2 | 29.803 | 10.1337 | 21756.19 | 13706.72 | 9790.19 |