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 23 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 โœ”๏ธ Optional
SAP Application โŒ
SAP HANA โŒ
Spot Provisioning Mode (Spot VM) โœ”๏ธ
Sustained Use Discount (SUD) โŒ
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 0.1775 0.2381
Spot provisioning model (Spot VM) 0.0206 0.0411 0.06

Price per Month

Min. Avg. Max.
Price per month 72.23 129.56 173.78
Spot provisioning model (Spot VM) 15.02 30 43.8
1 year commitment (CUD) 45.51 81.62 109.48
3 year commitment (CUD) 32.5 58.3 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%.

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Region
Location
#Zones
#Platf.
Hour
Spot
Month
1Y CUD
3Y CUD
asia-south1 Mumbai310.0990.020672.2345.5132.5
us-central1 Iowa ๐Ÿƒ510.14990.0349109.4468.9549.25
us-east1 South Carolina310.14990.0349109.4468.9549.25
us-west1 Oregon ๐Ÿƒ310.14990.0349109.4468.9549.25
europe-west1 Belgium ๐Ÿƒ310.16510.0283120.5175.9254.22
europe-west4 Netherlands ๐Ÿƒ310.16510.0402120.5175.9254.22
northamerica-northeast2 Toronto ๐Ÿƒ210.16510.041120.5175.9254.22
us-east4 Northern Virginia310.16880.06123.2677.6655.47
us-west4 Las Vegas310.16880.0448123.2677.6655.47
asia-east1 Taiwan310.17360.06126.7379.8457.03
europe-southwest1 Madrid ๐Ÿƒ110.17690.0334129.1481.3658.11
asia-south2 Delhi210.18010.037131.4582.8159.15
us-west2 Los Angeles110.18020.0371131.5682.8859.2
us-west3 Salt Lake City110.18020.0436131.5682.8859.2
asia-southeast1 Singapore310.1850.0339135.0285.0660.76
asia-northeast1 Tokyo110.19250.0455140.5588.5463.25
asia-northeast2 Osaka110.19250.0337140.5588.5463.25
asia-northeast3 Seoul310.19250.0337140.5588.5463.25
europe-west2 London ๐Ÿƒ310.19320.045114188.8363.45
europe-west3 Frankfurt ๐Ÿƒ310.19320.051214188.8363.45
asia-east2 Hong Kong110.20970.0508153.196.4568.89
australia-southeast1 Sydney110.21280.0515155.3597.8769.91
southamerica-east1 Sรฃo Paulo ๐Ÿƒ310.23810.049173.78109.4878.2