Google Compute Engine Machine Type c4-highmem-48
General-purpose Google Compute Engine machine type c4-highmem-48 with 48 vCPU and 372 GB memory. GCE machine type c4-highmem-48 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 43 Google Cloud regions. Not all CPU platforms are available in all regions.
✅ Instance Picker with filter on machine type c4-highmem-48 Compare machine type c4-highmem-48
Google Cloud VM c4-highmem-48
Technical facts about the Google Compute Engine machine type c4-highmem-48.
| Series | C4 |
|---|---|
| Family | General-purpose |
| vCPU | 48 |
| Memory | 372 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 | 34 Gbps |
| Network Tier 1 | 50 Gbps |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ❌ Optional |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ✔️ Certified for SAP HANA |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 48 vCPUs, 372 GB RAM |
Costs (Pricing) for c4-highmem-48
Cost and pricing across all regions for Google Cloud VM c4-highmem-48.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 3.1281 | 3.6968 | 5.005 |
| Spot provisioning model (Spot VM) | 0.4331 | 1.4785 | 2.2733 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 2283.54 | 2698.65 | 3653.66 |
| Spot provisioning model (Spot VM) | 316.19 | 1079.3 | 1659.51 |
| 1 year commitment (CUD) | 1438.66 | 1700.18 | 2301.86 |
| 3 year commitment (CUD) | 1027.58 | 1214.38 | 1644.13 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-highmem-48.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1611.84 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 378.43 | 378.43 | 378.43 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 569.4 | 569.4 | 569.4 |
Price per Region
Costs and pricing for Google Compute Engine machine type c4-highmem-48 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 2 | 3.1281 | 1.877 | 2283.54 | 1438.66 | 1027.58 |
| us-east1 | South Carolina | 3 | 2 | 3.1281 | 1.877 | 2283.54 | 1438.66 | 1027.58 |
| us-east4 | Northern Virginia | 3 | 2 | 3.1281 | 1.694 | 2283.54 | 1438.66 | 1027.58 |
| us-east5 | Columbus | 3 | 2 | 3.1281 | 1.7037 | 2283.54 | 1438.66 | 1027.58 |
| us-west1 | Oregon 🍃 | 3 | 2 | 3.1281 | 1.877 | 2283.54 | 1438.66 | 1027.58 |
| asia-south1 | Mumbai | 3 | 2 | 3.2533 | 1.7083 | 2374.88 | 1496.21 | 1068.69 |
| asia-south2 | Delhi | 3 | 2 | 3.2534 | 1.424 | 2374.96 | 1496.26 | 1068.72 |
| asia-southeast3 | Bangkok | 3 | 2 | 3.2845 | 1.0044 | 2397.66 | 1510.53 | 1079.08 |
| europe-north2 | Stockholm 🍃 | 3 | 2 | 3.2845 | 1.626 | 2397.72 | 1510.6 | 1078.96 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 3.2845 | 1.3036 | 2397.72 | 1510.6 | 1078.96 |
| northamerica-south1 | Mexico | 3 | 2 | 3.4097 | 1.1692 | 2489.06 | 1568.14 | 1120.07 |
| me-west1 | Tel Aviv | 2 | 2 | 3.4409 | 0.4331 | 2511.89 | 1582.53 | 1130.34 |
| africa-south1 | Johannesburg | 3 | 2 | 3.4444 | 1.6205 | 2514.4 | 1584.11 | 1131.47 |
| europe-north1 | Finland 🍃 | 3 | 2 | 3.4444 | 0.8384 | 2514.41 | 1584.11 | 1131.47 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 3.4444 | 1.978 | 2514.41 | 1584.11 | 1131.47 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 2 | 3.4444 | 0.5932 | 2514.41 | 1584.11 | 1131.47 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 3.4444 | 2.0662 | 2514.41 | 1584.11 | 1131.47 |
| us-west4 | Las Vegas | 3 | 2 | 3.5232 | 1.9276 | 2571.95 | 1620.37 | 1157.37 |
| europe-west2 | London 🍃 | 3 | 2 | 3.5661 | 1.3729 | 2603.23 | 1640.08 | 1171.44 |
| asia-east1 | Taiwan | 3 | 2 | 3.6221 | 1.9631 | 2644.11 | 1665.83 | 1189.84 |
| europe-west8 | Milan | 2 | 2 | 3.6286 | 1.5558 | 2648.91 | 1668.85 | 1192 |
| europe-west9 | Paris 🍃 | 3 | 2 | 3.6286 | 0.6922 | 2648.91 | 1668.85 | 1192 |
| europe-west10 | Berlin | 1 | 1 | 3.691 | 1.7388 | 2694.45 | 1697.55 | 1212.5 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 3.6912 | 1.0863 | 2694.58 | 1697.62 | 1212.55 |
| europe-west3 | Frankfurt | 3 | 2 | 3.6912 | 1.6133 | 2694.58 | 1697.62 | 1212.55 |
| us-south1 | Dallas 🍃 | 2 | 2 | 3.6912 | 1.053 | 2694.58 | 1697.62 | 1212.55 |
| us-west2 | Los Angeles | 3 | 2 | 3.7603 | 1.0974 | 2745.04 | 1729.42 | 1235.26 |
| us-west3 | Salt Lake City | 3 | 2 | 3.7603 | 1.3741 | 2745.04 | 1729.42 | 1235.26 |
| europe-central2 | Warsaw | 2 | 2 | 3.7848 | 1.3209 | 2762.94 | 1740.69 | 1243.31 |
| me-central1 | Doha | 2 | 2 | 3.8007 | 1.5128 | 2774.5 | 1747.98 | 1248.51 |
| asia-southeast1 | Singapore | 3 | 2 | 3.8592 | 1.6931 | 2817.2 | 1774.88 | 1267.73 |
| australia-southeast1 | Sydney | 2 | 2 | 3.9102 | 1.8093 | 2854.42 | 1798.33 | 1284.48 |
| asia-northeast1 | Tokyo | 2 | 2 | 4.0172 | 2.2024 | 2932.52 | 1847.53 | 1319.62 |
| asia-northeast2 | Osaka | 3 | 1 | 4.0172 | 1.5254 | 2932.52 | 1847.53 | 1319.62 |
| asia-northeast3 | Seoul | 3 | 2 | 4.0172 | 1.6488 | 2932.52 | 1847.53 | 1319.62 |
| europe-west12 | Turin | 1 | 1 | 4.0353 | 0.7648 | 2945.77 | 1855.88 | 1325.58 |
| australia-southeast2 | Melbourne | 3 | 2 | 4.0666 | 1.4811 | 2968.6 | 1870.26 | 1335.86 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 4.0981 | 2.1233 | 2991.6 | 1884.64 | 1346.06 |
| asia-southeast2 | Jakarta | 3 | 2 | 4.2064 | 0.8814 | 3070.68 | 1934.57 | 1381.79 |
| asia-east2 | Hong Kong | 2 | 2 | 4.3759 | 1.7672 | 3194.44 | 2012.55 | 1437.49 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 4.4732 | 2.2733 | 3265.46 | 2057.29 | 1469.44 |
| southamerica-east1 | São Paulo 🍃 | 2 | 2 | 4.9672 | 1.6767 | 3626.03 | 2284.45 | 1631.7 |
| me-central2 | Dammam | 2 | 2 | 5.005 | 0.6271 | 3653.66 | 2301.86 | 1644.13 |