Google Compute Engine Machine Type c4-highcpu-4

General-purpose Google Compute Engine machine type c4-highcpu-4 with 4 vCPU and 8 GB memory. Available in 38 Google Cloud regions. Not all CPU platforms are available in all regions.

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Google Cloud VM c4-highcpu-4

Technical facts about the Google Compute Engine machine type c4-highcpu-4.

Series C4
Family General-purpose
vCPU 4
Memory 8 GB
CPU Manufactur Intel
CPU Platform
  • Intel Granite Rapids
  • Intel Emerald Rapids
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 10 Gbps
Network Tier 1 -
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD ❌ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ❌
GCE API Description 4 vCPUs, 8 GB RAM

Costs (Pricing) for c4-highcpu-4

Cost and pricing across all regions for Google Cloud VM c4-highcpu-4.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.1701 0.2021 0.2722
Spot provisioning model (Spot VM) 0.0537 0.0766 0.0973

Price per Month

Min. Avg. Max.
Price per month 124.18 147.55 198.68
Spot provisioning model (Spot VM) 39.17 55.9 71.03
1 year commitment (CUD) 78.23 92.96 125.17
3 year commitment (CUD) 55.88 66.4 89.41

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-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 89.42
Red Hat Enterprise Linux for SAP 65.7 65.7 65.7

Price per Region

Costs and pricing for Google Compute Engine machine type c4-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 🍃 4 2 0.1701 0.0607 124.18 78.23 55.88
us-east1 South Carolina 3 2 0.1701 0.0607 124.18 78.23 55.88
us-east4 Northern Virginia 3 2 0.1701 0.0638 124.18 78.23 55.88
us-east5 Columbus 3 2 0.1701 0.0609 124.18 78.23 55.88
us-west1 Oregon 🍃 3 2 0.1701 0.0607 124.18 78.23 55.88
asia-south1 Mumbai 3 2 0.1769 0.0637 129.14 81.36 58.12
asia-south2 Delhi 3 2 0.1769 0.0817 129.15 81.36 58.12
europe-north2 Stockholm 3 2 0.1786 0.0714 130.38 82.14 58.67
europe-west4 Netherlands 🍃 3 2 0.1786 0.0714 130.38 82.14 58.67
northamerica-south1 Mexico 3 2 0.1854 0.0742 135.35 85.27 60.91
me-west1 Tel Aviv 1 1 0.1871 0.0579 136.59 86.06 61.47
europe-north1 Finland 🍃 1 1 0.1873 0.0749 136.73 86.14 61.53
europe-west1 Belgium 🍃 3 2 0.1873 0.0749 136.73 86.14 61.53
northamerica-northeast2 Toronto 🍃 1 2 0.1873 0.0749 136.73 86.14 61.53
us-west4 Las Vegas 3 2 0.1916 0.0766 139.86 88.11 62.94
europe-west2 London 🍃 3 2 0.1939 0.0776 141.56 89.19 63.7
asia-east1 Taiwan 3 2 0.197 0.0788 143.78 90.59 64.7
europe-west8 Milan 1 2 0.1973 0.0789 144.04 90.75 64.82
europe-west9 Paris 🍃 3 2 0.1973 0.0789 144.04 90.75 64.82
europe-southwest1 Madrid 🍃 2 2 0.2007 0.0746 146.53 92.31 65.94
europe-west3 Frankfurt 🍃 3 2 0.2007 0.0803 146.53 92.31 65.94
us-south1 Dallas 🍃 1 2 0.2007 0.0803 146.53 92.31 65.94
us-west2 Los Angeles 2 2 0.2045 0.0776 149.27 94.04 67.17
us-west3 Salt Lake City 2 2 0.2045 0.0695 149.27 94.04 67.17
europe-central2 Warsaw 2 1 0.2058 0.0877 150.24 94.66 67.61
me-central1 Doha 2 1 0.2067 0.0827 150.87 95.05 67.89
asia-southeast1 Singapore 3 2 0.2099 0.0839 153.2 96.52 68.94
asia-northeast1 Tokyo 1 2 0.2184 0.0857 159.47 100.47 71.76
asia-northeast2 Osaka 1 1 0.2184 0.0874 159.47 100.47 71.76
asia-northeast3 Seoul 3 2 0.2184 0.0537 159.47 100.47 71.76
australia-southeast2 Melbourne 3 2 0.2211 0.0885 161.43 101.7 72.64
africa-south1 Johannesburg 3 2 0.2225 0.0781 162.42 102.33 73.09
europe-west6 Zurich 🍃 2 2 0.2228 0.0688 162.68 102.48 73.2
asia-southeast2 Jakarta 3 1 0.2287 0.0915 166.98 105.2 75.14
asia-east2 Hong Kong 3 2 0.238 0.0952 173.71 109.44 78.17
southamerica-west1 Santiago 🍃 2 1 0.2432 0.0973 177.57 111.87 79.91
southamerica-east1 São Paulo 🍃 2 2 0.2701 0.0918 197.18 124.23 88.73
me-central2 Dammam 2 1 0.2722 0.0925 198.68 125.17 89.41