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 20 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 ✔️
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
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 2.4355 3.3328
Spot provisioning model (Spot VM) 0.2178 0.5835 0.8596

Price per Month

Min. Avg. Max.
Price per month 1011.29 1777.95 2432.93
Spot provisioning model (Spot VM) 159.02 425.94 627.51
1 year commitment (CUD) 637.07 1120.1 1532.75
3 year commitment (CUD) 454.99 800.06 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 0.2178 1011.29 637.07 454.99
us-central1 Iowa 🍃 5 1 2.0989 0.5227 1532.22 965.26 689.44
us-east1 South Carolina 3 1 2.0989 0.5227 1532.22 965.26 689.44
us-west1 Oregon 🍃 3 1 2.0989 0.5227 1532.22 965.26 689.44
europe-west1 Belgium 🍃 3 1 2.3111 0.3628 1687.08 1062.84 759.14
europe-west4 Netherlands 🍃 3 1 2.3111 0.6309 1687.08 1062.84 759.14
northamerica-northeast2 Toronto 🍃 2 1 2.3111 0.4757 1687.08 1062.84 759.14
us-east4 Northern Virginia 3 1 2.3639 0.8421 1725.63 1087.2 776.52
us-west4 Las Vegas 3 1 2.3639 0.6007 1725.63 1087.2 776.52
asia-east1 Taiwan 3 1 2.4303 0.8596 1774.15 1117.7 798.39
europe-southwest1 Madrid 🍃 1 1 2.4767 0.5993 1808.02 1139.01 813.54
asia-south2 Delhi 2 1 2.521 0.5183 1840.34 1159.36 828.15
us-west3 Salt Lake City 1 1 2.5231 0.6106 1841.85 1160.34 828.8
asia-southeast1 Singapore 3 1 2.5894 0.4747 1890.25 1190.88 850.63
asia-northeast1 Tokyo 1 1 2.6954 0.6522 1967.64 1239.6 885.46
asia-northeast2 Osaka 1 1 2.6954 0.6522 1967.64 1239.6 885.46
asia-northeast3 Seoul 3 1 2.6954 0.6522 1967.64 1239.6 885.46
europe-west2 London 🍃 3 1 2.7041 0.6103 1974.01 1243.65 888.32
europe-west3 Frankfurt 🍃 3 1 2.7041 0.6561 1974.01 1243.65 888.32
southamerica-east1 São Paulo 🍃 3 1 3.3328 0.6858 2432.93 1532.75 1094.85