Google Compute Engine Machine Type c2d-highcpu-56

Compute-optimized Google Compute Engine machine type c2d-highcpu-56 with 56 vCPU and 112 GB memory. Available in 31 Google Cloud regions.

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Google Cloud VM c2d-highcpu-56

Technical facts about the Google Compute Engine machine type c2d-highcpu-56.

Series C2D
Family Compute-optimized
vCPU 56
Memory 112 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 (?) 1244008
EEMBC CoreMark Standard Deviation 0.56 %
EEMBC CoreMark Sample Count 92
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 50 Gbps
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD βœ”οΈ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) ❌
GCE API Description 56 vCPUs, 112 GB RAM

Costs (Pricing) for c2d-highcpu-56

Cost and pricing across all regions for Google Cloud VM c2d-highcpu-56.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.3853 2.5194 3.3583
Spot provisioning model (Spot VM) 0.2564 0.4927 0.8868

Price per Month

Min. Avg. Max.
Price per month 1011.29 1839.16 2451.56
Spot provisioning model (Spot VM) 187.15 359.64 647.38
1 year commitment (CUD) 637.07 1158.64 1544.41
3 year commitment (CUD) 454.99 827.96 1103.11

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-56.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1880.48
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 441.5 441.5 441.5
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 664.3 664.3 664.3

Price per Region

Costs and pricing for Google Compute Engine machine type c2d-highcpu-56 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 59%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 1 1.3853 0.5239 1011.29 637.07 454.99
us-central1 Iowa πŸƒ 4 1 2.0989 0.61 1532.22 965.26 689.44
us-east1 South Carolina 3 1 2.0989 0.61 1532.22 965.26 689.44
us-west1 Oregon πŸƒ 3 1 2.0989 0.61 1532.22 965.26 689.44
me-west1 Tel Aviv 1 1 2.3088 0.6702 1685.45 1061.78 758.39
africa-south1 Johannesburg 3 1 2.3111 0.3742 1687.08 1062.84 759.14
europe-west1 Belgium πŸƒ 3 1 2.3111 0.2564 1687.08 1062.84 759.14
europe-west4 Netherlands πŸƒ 3 1 2.3111 0.8533 1687.08 1062.84 759.14
northamerica-northeast1 MontrΓ©al πŸƒ 2 1 2.3111 0.5616 1687.08 1062.84 759.14
northamerica-northeast2 Toronto πŸƒ 2 1 2.3111 0.3634 1687.08 1062.84 759.14
us-east4 Northern Virginia 3 1 2.3639 0.6269 1725.63 1087.2 776.52
us-west4 Las Vegas 3 1 2.3639 0.3855 1725.63 1087.2 776.52
asia-east1 Taiwan 3 1 2.4303 0.5892 1774.15 1117.7 798.39
europe-west8 Milan 1 1 2.4348 0.2955 1777.38 1119.7 799.75
europe-southwest1 Madrid πŸƒ 1 1 2.4767 0.3344 1808.02 1139.01 813.54
asia-south2 Delhi 2 1 2.521 0.333 1840.34 1159.36 828.15
us-west2 Los Angeles 2 1 2.5231 0.4508 1841.85 1160.34 828.8
us-west3 Salt Lake City 1 1 2.5231 0.3061 1841.85 1160.34 828.8
europe-central2 Warsaw 2 1 2.5408 0.2941 1854.81 1167.98 845.81
asia-southeast1 Singapore 3 1 2.5894 0.8868 1890.25 1190.88 850.63
asia-northeast1 Tokyo 2 1 2.6954 0.8754 1967.64 1239.6 885.46
asia-northeast2 Osaka 3 1 2.6954 0.2932 1967.64 1239.6 885.46
asia-northeast3 Seoul 3 1 2.6954 0.3912 1967.64 1239.6 885.46
europe-west2 London πŸƒ 3 1 2.7041 0.8242 1974.01 1243.65 888.32
europe-west3 Frankfurt 3 1 2.7041 0.7156 1974.01 1243.65 888.32
europe-west12 Turin 1 1 2.7076 0.2818 1976.57 1245.18 889.38
asia-east2 Hong Kong 1 1 2.9361 0.5267 2143.38 1350.35 964.52
australia-southeast1 Sydney 1 1 2.9793 0.3621 2174.9 1370.17 978.75
australia-southeast2 Melbourne 1 1 2.9793 0.2684 2174.9 1370.17 978.75
southamerica-east1 SΓ£o Paulo πŸƒ 3 1 3.3328 0.4941 2432.93 1532.75 1094.85
me-central2 Dammam 1 1 3.3583 0.3046 2451.56 1544.41 1103.11