Google Compute Engine Machine Type c4-highmem-192-lssd
General-purpose Google Compute Engine machine type c4-highmem-192-lssd with 192 vCPU and 1488 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-192-lssd Compare machine type c4-highmem-192-lssd
Google Cloud VM c4-highmem-192-lssd
Technical facts about the Google Compute Engine machine type c4-highmem-192-lssd.
| Series | C4 |
|---|---|
| Family | General-purpose |
| vCPU | 192 |
| Memory | 1488 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 | 192 vCPUs, 1488 GB RAM, 32 local SSDs |
Costs (Pricing) for c4-highmem-192-lssd
Cost and pricing across all regions for Google Cloud VM c4-highmem-192-lssd.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 15.1427 | 17.5996 | 24.045 |
| Spot provisioning model (Spot VM) | 5.4956 | 6.6748 | 8.4728 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 11054.16 | 12847.73 | 17552.85 |
| Spot provisioning model (Spot VM) | 4011.77 | 4872.59 | 6185.17 |
| 1 year commitment (CUD) | 6964.25 | 8104.29 | 11058.54 |
| 3 year commitment (CUD) | 4974.33 | 5788.61 | 7898.76 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-highmem-192-lssd.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 6447.36 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 1345.54 | 1345.54 | 1345.54 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 2102.4 | 2102.4 | 2102.4 |
Price per Region
Costs and pricing for Google Compute Engine machine type c4-highmem-192-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 | 15.1427 | 5.9459 | 11054.16 | 6964.25 | 4974.33 |
| us-east1 | South Carolina | 3 | 2 | 15.1427 | 5.9459 | 11054.16 | 6964.25 | 4974.33 |
| us-east4 | Northern Virginia | 3 | 2 | 15.1427 | 6.0568 | 11054.16 | 6964.25 | 4974.33 |
| us-east5 | Columbus | 3 | 2 | 15.1427 | 5.7541 | 11054.16 | 6964.25 | 4974.33 |
| us-west1 | Oregon 🍃 | 3 | 2 | 15.1427 | 5.9459 | 11054.16 | 6964.25 | 4974.33 |
| asia-south1 | Mumbai | 1 | 2 | 15.7484 | 6.2967 | 11496.32 | 7242.8 | 5173.31 |
| asia-south2 | Delhi | 3 | 2 | 15.7488 | 7.2748 | 11496.62 | 7437.87 | 5312.64 |
| europe-north2 | Stockholm | 1 | 2 | 15.8998 | 6.3596 | 11606.86 | 7312.47 | 5223.05 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 15.8998 | 6.3596 | 11606.86 | 7312.47 | 5223.05 |
| northamerica-south1 | Mexico | 3 | 2 | 16.5055 | 6.6019 | 12049.03 | 7591.01 | 5422.02 |
| europe-west1 | Belgium 🍃 | 2 | 2 | 16.6737 | 6.6685 | 12171.78 | 7668.33 | 5477.25 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 2 | 16.6737 | 6.4954 | 12171.78 | 7668.33 | 5477.25 |
| us-west4 | Las Vegas | 2 | 2 | 17.0552 | 6.8217 | 12450.32 | 7843.83 | 5602.55 |
| europe-west2 | London 🍃 | 2 | 2 | 17.2627 | 6.9039 | 12601.74 | 7939.23 | 5670.74 |
| asia-east1 | Taiwan | 2 | 2 | 17.5336 | 7.0132 | 12799.56 | 8063.95 | 5759.79 |
| europe-west8 | Milan | 2 | 2 | 17.5655 | 7.0259 | 12822.82 | 8078.56 | 5770.23 |
| europe-west9 | Paris 🍃 | 1 | 2 | 17.5655 | 7.0259 | 12822.82 | 8078.56 | 5770.23 |
| europe-southwest1 | Madrid 🍃 | 1 | 2 | 17.8684 | 5.737 | 13043.91 | 8217.77 | 5869.71 |
| europe-west3 | Frankfurt 🍃 | 3 | 2 | 17.8684 | 7.1487 | 13043.91 | 8217.77 | 5869.71 |
| us-south1 | Dallas 🍃 | 2 | 2 | 17.8684 | 6.0752 | 13043.91 | 8217.77 | 5869.71 |
| us-west2 | Los Angeles | 1 | 2 | 18.2031 | 6.1485 | 13288.25 | 8371.71 | 5979.63 |
| us-west3 | Salt Lake City | 2 | 2 | 18.2031 | 6.6329 | 13288.25 | 8371.71 | 5979.63 |
| asia-southeast1 | Singapore | 3 | 2 | 18.6815 | 7.4723 | 13637.49 | 8591.84 | 6136.88 |
| asia-northeast1 | Tokyo | 2 | 2 | 19.4462 | 7.7774 | 14195.73 | 8943.53 | 6388.01 |
| asia-northeast3 | Seoul | 3 | 2 | 19.4462 | 5.4956 | 14195.73 | 8943.53 | 6388.01 |
| australia-southeast2 | Melbourne | 2 | 2 | 19.6855 | 7.8738 | 14370.4 | 9053.53 | 6466.63 |
| africa-south1 | Johannesburg | 3 | 2 | 19.8066 | 6.2911 | 14458.84 | 9109.29 | 6506.47 |
| europe-west6 | Zurich 🍃 | 2 | 2 | 19.8378 | 6.3758 | 14481.58 | 9230.69 | 6592.89 |
| asia-east2 | Hong Kong | 2 | 2 | 21.183 | 8.4728 | 15463.61 | 9742.31 | 6958.58 |
| southamerica-east1 | São Paulo 🍃 | 1 | 2 | 24.045 | 8.2468 | 17552.85 | 11058.54 | 7898.76 |