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 27 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 2.4675 3.3328
Spot provisioning model (Spot VM) 0.2577 0.5131 0.7577

Price per Month

Min. Avg. Max.
Price per month 1011.29 1801.24 2432.93
Spot provisioning model (Spot VM) 188.13 374.6 553.11
1 year commitment (CUD) 637.07 1134.75 1532.75
3 year commitment (CUD) 454.99 810.95 1094.85

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 58%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 1 1.3853 0.5295 1011.29 637.07 454.99
us-central1 Iowa πŸƒ 4 1 2.0989 0.5036 1532.22 965.26 689.44
us-east1 South Carolina 3 1 2.0989 0.5036 1532.22 965.26 689.44
us-west1 Oregon πŸƒ 3 1 2.0989 0.5036 1532.22 965.26 689.44
me-west1 Tel Aviv 1 1 2.3088 0.5449 1685.45 1061.78 758.39
africa-south1 Johannesburg 1 1 2.3111 0.5311 1687.08 1062.84 759.14
europe-west1 Belgium πŸƒ 3 1 2.3111 0.2577 1687.08 1062.84 759.14
europe-west4 Netherlands πŸƒ 3 1 2.3111 0.668 1687.08 1062.84 759.14
northamerica-northeast1 MontrΓ©al πŸƒ 2 1 2.3111 0.4857 1687.08 1062.84 759.14
northamerica-northeast2 Toronto πŸƒ 2 1 2.3111 0.3842 1687.08 1062.84 759.14
us-east4 Northern Virginia 3 1 2.3639 0.6964 1725.63 1087.2 776.52
us-west4 Las Vegas 3 1 2.3639 0.3892 1725.63 1087.2 776.52
asia-east1 Taiwan 3 1 2.4303 0.6234 1774.15 1117.7 798.39
europe-southwest1 Madrid πŸƒ 1 1 2.4767 0.3378 1808.02 1139.01 813.54
asia-south2 Delhi 2 1 2.521 0.3705 1840.34 1159.36 828.15
us-west2 Los Angeles 2 1 2.5231 0.4321 1841.85 1160.34 828.8
us-west3 Salt Lake City 1 1 2.5231 0.5571 1841.85 1160.34 828.8
europe-central2 Warsaw 2 1 2.5408 0.3438 1854.81 1167.98 845.81
asia-southeast1 Singapore 3 1 2.5894 0.7264 1890.25 1190.88 850.63
asia-northeast1 Tokyo 1 1 2.6954 0.7577 1967.64 1239.6 885.46
asia-northeast2 Osaka 1 1 2.6954 0.2678 1967.64 1239.6 885.46
asia-northeast3 Seoul 3 1 2.6954 0.2925 1967.64 1239.6 885.46
europe-west2 London πŸƒ 3 1 2.7041 0.7147 1974.01 1243.65 888.32
europe-west3 Frankfurt 3 1 2.7041 0.7171 1974.01 1243.65 888.32
asia-east2 Hong Kong 1 1 2.9361 0.4814 2143.38 1350.35 964.52
australia-southeast1 Sydney 1 1 2.9793 0.6579 2174.9 1370.17 978.75
southamerica-east1 SΓ£o Paulo πŸƒ 3 1 3.3328 0.5774 2432.93 1532.75 1094.85