Google Compute Engine Machine Type c4-highmem-4-lssd

General-purpose Google Compute Engine machine type c4-highmem-4-lssd with 4 vCPU and 31 GB memory. Local SSD storage is required and automatically attached. Additional costs for Local SSD storage are charged. Available in 34 Google Cloud regions.

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Google Cloud VM c4-highmem-4-lssd

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

Series C4
Family General-purpose
vCPU 4
Memory 31 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 ✔️ Mandatory, additional costs!
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ❌
GCE API Description 4 vCPUs, 31 GB RAM, 1 local SSD

Costs (Pricing) for c4-highmem-4-lssd

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

Price per Hour

Min. Avg. Max.
Standard price per hour 0.2737 0.3967 0.5444
Spot provisioning model (Spot VM) 0.084 0.1733 0.2503

Price per Month

Min. Avg. Max.
Price per month 199.8 289.57 397.44
Spot provisioning model (Spot VM) 61.33 126.53 182.74
1 year commitment (CUD) 125.88 182.43 250.39
3 year commitment (CUD) 89.92 130.3 178.85

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-highmem-4-lssd.

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-highmem-4-lssd in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 50%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-southeast3 Bangkok 3 2 0.2737 0.0845 199.8 125.88 89.92
us-central1 Iowa 🍃 4 2 0.3429 0.1799 250.29 157.69 112.63
us-east1 South Carolina 3 2 0.3429 0.1799 250.29 157.69 112.63
us-east4 Northern Virginia 3 2 0.3429 0.1886 250.29 157.69 112.63
us-east5 Columbus 3 2 0.3429 0.1886 250.29 157.69 112.63
us-west1 Oregon 🍃 3 2 0.3429 0.1799 250.29 157.69 112.63
asia-south1 Mumbai 1 2 0.3566 0.1793 260.31 164 117.14
asia-south2 Delhi 3 2 0.3566 0.1643 260.31 164 117.14
europe-north2 Stockholm 🍃 1 2 0.36 0.1625 262.81 165.57 118.26
europe-west4 Netherlands 🍃 3 2 0.36 0.1299 262.81 165.57 118.26
northamerica-south1 Mexico 3 2 0.3737 0.1349 272.82 171.88 122.77
africa-south1 Johannesburg 3 2 0.3775 0.2076 275.6 173.63 124.02
europe-west1 Belgium 🍃 3 2 0.3775 0.1791 275.6 173.63 124.02
northamerica-northeast1 Montréal 🍃 1 2 0.3775 0.084 275.6 173.63 124.02
northamerica-northeast2 Toronto 🍃 2 2 0.3775 0.1704 275.6 173.63 124.02
us-west4 Las Vegas 2 2 0.3862 0.2017 281.91 177.6 126.86
europe-west2 London 🍃 3 2 0.3909 0.1592 285.34 179.76 128.4
asia-east1 Taiwan 2 2 0.397 0.2074 289.81 182.59 130.42
europe-west8 Milan 2 2 0.3977 0.189 290.34 182.92 130.65
europe-west9 Paris 🍃 1 2 0.3977 0.098 290.34 182.92 130.65
europe-southwest1 Madrid 🍃 1 2 0.4046 0.1148 295.35 186.07 132.91
europe-west3 Frankfurt 3 2 0.4046 0.1785 295.35 186.07 132.91
us-south1 Dallas 🍃 2 2 0.4046 0.1491 295.35 186.07 132.91
us-west2 Los Angeles 1 2 0.4122 0.1555 300.88 189.56 135.39
us-west3 Salt Lake City 2 2 0.4122 0.1947 300.88 189.56 135.39
asia-southeast1 Singapore 3 2 0.423 0.1954 308.79 194.54 138.96
asia-northeast1 Tokyo 2 2 0.4403 0.231 321.43 202.5 144.64
asia-northeast3 Seoul 3 2 0.4403 0.1825 321.43 202.5 144.64
australia-southeast2 Melbourne 2 2 0.4457 0.1812 325.38 205 146.42
europe-west6 Zurich 🍃 2 2 0.4492 0.2462 327.9 206.57 147.54
asia-southeast2 Jakarta 2 2 0.4611 0.1249 336.57 212.05 151.46
asia-east2 Hong Kong 2 2 0.4796 0.2503 350.14 220.59 157.56
southamerica-west1 Santiago 🍃 3 2 0.4903 0.2265 357.92 225.49 161.06
southamerica-east1 São Paulo 🍃 1 2 0.5444 0.1935 397.44 250.39 178.85