Google Compute Engine Machine Type c2d-highcpu-4

Compute-optimized Google Compute Engine machine type c2d-highcpu-4 with 4 vCPU and 8 GB memory. Available in 24 Google Cloud regions.

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Google Cloud VM c2d-highcpu-4

Technical facts about the Google Compute Engine machine type c2d-highcpu-4.

Series C2D
Family Compute-optimized
vCPU 4
Memory 8 GB
CPU Manufactur AMD
CPU Platform
  • AMD Milan
CPU Base Frequency 2.45 GHz
CPU Turbo Frequency 2.8 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 86953
EEMBC CoreMark Standard Deviation 0.72 %
EEMBC CoreMark Sample Count 1176
SAP Standard Benchmark (?) -
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 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 c2d-highcpu-4

Cost and pricing across all regions for Google Cloud VM c2d-highcpu-4.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.099 0.177 0.2381
Spot provisioning model (Spot VM) 0.0195 0.0407 0.0628

Price per Month

Min. Avg. Max.
Price per month 72.23 129.18 173.78
Spot provisioning model (Spot VM) 14.21 29.71 45.87
1 year commitment (CUD) 45.51 81.38 109.48
3 year commitment (CUD) 32.5 58.13 78.2

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-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 c2d-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 58%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 1 0.099 0.0313 72.23 45.51 32.5
us-central1 Iowa 🍃 5 1 0.1499 0.0375 109.44 68.95 49.25
us-east1 South Carolina 3 1 0.1499 0.0375 109.44 68.95 49.25
us-west1 Oregon 🍃 3 1 0.1499 0.0375 109.44 68.95 49.25
me-west1 Tel Aviv 1 1 0.1649 0.0399 120.39 75.84 54.17
europe-west1 Belgium 🍃 3 1 0.1651 0.0195 120.51 75.92 54.22
europe-west4 Netherlands 🍃 3 1 0.1651 0.0534 120.51 75.92 54.22
northamerica-northeast2 Toronto 🍃 2 1 0.1651 0.0473 120.51 75.92 54.22
us-east4 Northern Virginia 3 1 0.1688 0.0455 123.26 77.66 55.47
us-west4 Las Vegas 3 1 0.1688 0.044 123.26 77.66 55.47
asia-east1 Taiwan 3 1 0.1736 0.0628 126.73 79.84 57.03
europe-southwest1 Madrid 🍃 1 1 0.1769 0.0278 129.14 81.36 58.11
asia-south2 Delhi 2 1 0.1801 0.037 131.45 82.81 59.15
us-west2 Los Angeles 1 1 0.1802 0.0308 131.56 82.88 59.2
us-west3 Salt Lake City 1 1 0.1802 0.0436 131.56 82.88 59.2
asia-southeast1 Singapore 3 1 0.185 0.0471 135.02 85.06 60.76
asia-northeast1 Tokyo 1 1 0.1925 0.0378 140.55 88.54 63.25
asia-northeast2 Osaka 1 1 0.1925 0.0207 140.55 88.54 63.25
asia-northeast3 Seoul 3 1 0.1925 0.0267 140.55 88.54 63.25
europe-west2 London 🍃 3 1 0.1932 0.0451 141 88.83 63.45
europe-west3 Frankfurt 🍃 3 1 0.1932 0.0512 141 88.83 63.45
asia-east2 Hong Kong 1 1 0.2097 0.0508 153.1 96.45 68.89
australia-southeast1 Sydney 1 1 0.2128 0.0515 155.35 97.87 69.91
southamerica-east1 São Paulo 🍃 3 1 0.2381 0.0503 173.78 109.48 78.2