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Google Compute Engine Machine Type e2-highcpu-4
General-purpose Google Compute Engine machine type e2-highcpu-4 with 4 vCPU and 4 GB memory. Available in 41 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM e2-highcpu-4
Technical facts about the Google Compute Engine machine type e2-highcpu-4.
| Series | E2 |
|---|---|
| Family | General-purpose |
| vCPU | 4 |
| Memory | 4 GB |
| CPU Manufactur | Intel AMD |
| CPU Platform |
|
| CPU Base Frequency | 2.25 GHz |
| CPU Turbo Frequency | 2.7 GHz |
| CPU Max. Turbo Frequency | 3.3 GHz |
| EEMBC CoreMark Benchmark (?) | 51937 |
| EEMBC CoreMark Standard Deviation | 0.64 % |
| EEMBC CoreMark Sample Count | 360 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 8 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ❌ |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | Efficient Instance, 4 vCPUs, 4 GB RAM |
Costs (Pricing) for e2-highcpu-4
Cost and pricing across all regions for Google Cloud VM e2-highcpu-4.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.0989 | 0.1213 | 0.1583 |
| Spot provisioning model (Spot VM) | 0.014 | 0.0425 | 0.0633 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 72.23 | 88.57 | 115.56 |
| Spot provisioning model (Spot VM) | 10.23 | 31.04 | 46.23 |
| 1 year commitment (CUD) | 45.5 | 55.8 | 72.8 |
| 3 year commitment (CUD) | 32.5 | 39.86 | 52 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type e2-highcpu-4.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 134.32 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 42.05 | 42.05 | 42.05 |
| SUSE Linux Enterprise Server for SAP | 248.2 | 100.01 | 89.43 |
| Red Hat Enterprise Linux for SAP | 65.7 | 65.7 | 65.7 |
Price per Region
Costs and pricing for Google Compute Engine machine type e2-highcpu-4 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 🍃 | 5 | 4 | 0.0989 | 0.0396 | 72.23 | 45.5 | 32.5 |
| us-east1 | South Carolina | 4 | 4 | 0.0989 | 0.0396 | 72.23 | 45.5 | 32.5 |
| us-east5 | Columbus | 3 | 4 | 0.0989 | 0.0204 | 72.23 | 45.5 | 32.5 |
| us-west1 | Oregon 🍃 | 3 | 4 | 0.0989 | 0.0396 | 72.23 | 45.5 | 32.5 |
| northamerica-south1 | Mexico | 3 | 3 | 0.1078 | 0.0391 | 78.73 | 49.6 | 35.43 |
| europe-west1 | Belgium 🍃 | 3 | 4 | 0.1088 | 0.0412 | 79.45 | 50.05 | 35.75 |
| me-west1 | Tel Aviv | 3 | 4 | 0.1088 | 0.0417 | 79.45 | 50.05 | 35.75 |
| europe-north1 | Finland 🍃 | 3 | 4 | 0.1089 | 0.0408 | 79.52 | 50.1 | 35.79 |
| europe-west4 | Netherlands 🍃 | 3 | 4 | 0.1089 | 0.0435 | 79.52 | 50.1 | 35.78 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 4 | 0.1089 | 0.0417 | 79.52 | 50.1 | 35.78 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 4 | 0.1089 | 0.0435 | 79.52 | 50.1 | 35.78 |
| us-east4 | Northern Virginia | 3 | 4 | 0.1114 | 0.0444 | 81.35 | 51.25 | 36.61 |
| us-west4 | Las Vegas | 3 | 4 | 0.1114 | 0.014 | 81.35 | 51.25 | 36.61 |
| asia-east1 | Taiwan | 3 | 4 | 0.1146 | 0.0458 | 83.63 | 52.69 | 37.63 |
| europe-west8 | Milan | 3 | 4 | 0.1148 | 0.0346 | 83.78 | 52.78 | 37.7 |
| europe-west9 | Paris 🍃 | 3 | 4 | 0.1148 | 0.0459 | 83.78 | 52.78 | 37.7 |
| us-south1 | Dallas 🍃 | 3 | 4 | 0.1167 | 0.0367 | 85.23 | 53.69 | 38.35 |
| europe-southwest1 | Madrid 🍃 | 3 | 4 | 0.1168 | 0.0467 | 85.23 | 53.69 | 38.35 |
| asia-south1 | Mumbai | 3 | 4 | 0.1188 | 0.0475 | 86.75 | 54.65 | 39.04 |
| asia-south2 | Delhi | 3 | 4 | 0.1188 | 0.0475 | 86.75 | 54.65 | 39.04 |
| us-west2 | Los Angeles | 3 | 4 | 0.1188 | 0.0475 | 86.76 | 54.66 | 39.04 |
| us-west3 | Salt Lake City | 3 | 4 | 0.1188 | 0.0475 | 86.76 | 54.66 | 39.04 |
| australia-southeast2 | Melbourne | 3 | 4 | 0.1193 | 0.0466 | 87.11 | 54.88 | 39.2 |
| me-central1 | Doha | 3 | 4 | 0.1202 | 0.045 | 87.76 | 55.29 | 39.49 |
| asia-southeast1 | Singapore | 3 | 4 | 0.1221 | 0.0488 | 89.1 | 56.14 | 40.1 |
| asia-northeast1 | Tokyo | 3 | 4 | 0.1271 | 0.0508 | 92.76 | 58.44 | 41.74 |
| asia-northeast2 | Osaka | 3 | 4 | 0.1271 | 0.0508 | 92.76 | 58.44 | 41.74 |
| asia-northeast3 | Seoul | 3 | 4 | 0.1271 | 0.0508 | 92.76 | 58.44 | 41.74 |
| europe-central2 | Warsaw | 3 | 4 | 0.1275 | 0.0226 | 93.06 | 58.63 | 41.88 |
| europe-west2 | London 🍃 | 3 | 4 | 0.1275 | 0.0485 | 93.06 | 58.63 | 41.88 |
| europe-west3 | Frankfurt 🍃 | 3 | 4 | 0.1275 | 0.0506 | 93.06 | 58.63 | 41.88 |
| europe-west12 | Turin | 3 | 4 | 0.1276 | 0.036 | 93.17 | 58.7 | 41.93 |
| africa-south1 | Johannesburg | 3 | 1 | 0.1294 | 0.0414 | 94.47 | 59.52 | 42.51 |
| asia-southeast2 | Jakarta | 3 | 4 | 0.133 | 0.0532 | 97.12 | 61.19 | 43.71 |
| asia-east2 | Hong Kong | 3 | 4 | 0.1384 | 0.0277 | 101.06 | 63.67 | 45.48 |
| europe-west6 | Zurich 🍃 | 3 | 4 | 0.1384 | 0.0554 | 101.06 | 63.67 | 45.48 |
| australia-southeast1 | Sydney | 3 | 4 | 0.1404 | 0.0463 | 102.49 | 64.57 | 46.12 |
| southamerica-west1 | Santiago 🍃 | 3 | 4 | 0.1415 | 0.0335 | 103.28 | 65.07 | 46.48 |
| europe-west10 | Berlin 🍃 | 3 | 4 | 0.1524 | 0.0516 | 111.23 | 70.07 | 50.05 |
| southamerica-east1 | São Paulo 🍃 | 3 | 4 | 0.1571 | 0.0314 | 114.65 | 72.23 | 51.59 |
| me-central2 | Dammam | 3 | 3 | 0.1583 | 0.0633 | 115.56 | 72.8 | 52 |