Google Compute Engine Machine Type c2d-standard-4

Compute-optimized Google Compute Engine machine type c2d-standard-4 with 4 vCPU and 16 GB memory. GCE machine type c2d-standard-4 is certified for SAP applications on Google Cloud Platform. Available in 20 Google Cloud regions.

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Google Cloud VM c2d-standard-4

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

Series C2D
Family Compute-optimized
vCPU 4
Memory 16 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 (?) 86943
EEMBC CoreMark Standard Deviation 0.79 %
EEMBC CoreMark Sample Count 1176
SAP Standard Benchmark (?) 7089
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD โœ”๏ธ
SAP Application โœ”๏ธ Certified for SAP
SAP HANA โŒ
Spot Provisioning Mode (Spot VM) โœ”๏ธ
Sustained Use Discount (SUD) โŒ
GCE API Description 4 vCPUs, 16 GB RAM

Costs (Pricing) for c2d-standard-4

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

Price per Hour

Min. Avg. Max.
Standard price per hour 0.1199 0.2107 0.2883
Spot provisioning model (Spot VM) 0.0188 0.0505 0.0744

Price per Month

Min. Avg. Max.
Price per month 87.49 153.82 210.49
Spot provisioning model (Spot VM) 13.75 36.85 54.28
1 year commitment (CUD) 55.12 96.91 132.61
3 year commitment (CUD) 39.36 69.22 94.72

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-standard-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-standard-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 0.1199 0.0188 87.49 55.12 39.36
us-central1 Iowa ๐Ÿƒ 5 1 0.1816 0.0452 132.57 83.51 59.65
us-east1 South Carolina 3 1 0.1816 0.0452 132.57 83.51 59.65
us-west1 Oregon ๐Ÿƒ 3 1 0.1816 0.0452 132.57 83.51 59.65
europe-west1 Belgium ๐Ÿƒ 3 1 0.1999 0.0314 145.96 91.95 65.68
europe-west4 Netherlands ๐Ÿƒ 3 1 0.1999 0.0546 145.96 91.95 65.68
northamerica-northeast2 Toronto ๐Ÿƒ 2 1 0.1999 0.0412 145.96 91.95 65.68
us-east4 Northern Virginia 3 1 0.2045 0.0729 149.29 94.06 67.18
us-west4 Las Vegas 3 1 0.2045 0.052 149.29 94.06 67.18
asia-east1 Taiwan 3 1 0.2103 0.0744 153.5 96.7 69.08
europe-southwest1 Madrid ๐Ÿƒ 1 1 0.2143 0.0519 156.43 98.54 70.38
asia-south2 Delhi 2 1 0.2181 0.0448 159.22 100.3 71.65
us-west3 Salt Lake City 1 1 0.2183 0.0528 159.35 100.39 71.7
asia-southeast1 Singapore 3 1 0.224 0.0411 163.54 103.03 73.6
asia-northeast1 Tokyo 1 1 0.2332 0.0564 170.24 107.25 76.61
asia-northeast2 Osaka 1 1 0.2332 0.0564 170.24 107.25 76.61
asia-northeast3 Seoul 3 1 0.2332 0.0564 170.24 107.25 76.61
europe-west2 London ๐Ÿƒ 3 1 0.234 0.0528 170.78 107.6 76.85
europe-west3 Frankfurt ๐Ÿƒ 3 1 0.234 0.0568 170.78 107.6 76.85
southamerica-east1 Sรฃo Paulo ๐Ÿƒ 3 1 0.2883 0.0593 210.49 132.61 94.72