Google Compute Engine Machine Type c2d-highcpu-8

Compute-optimized Google Compute Engine machine type c2d-highcpu-8 with 8 vCPU and 16 GB memory. Available in 24 Google Cloud regions.

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Google Cloud VM c2d-highcpu-8

Technical facts about the Google Compute Engine machine type c2d-highcpu-8.

Series C2D
Family Compute-optimized
vCPU 8
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 (?) 177774
EEMBC CoreMark Standard Deviation 0.81 %
EEMBC CoreMark Sample Count 596
SAP Standard Benchmark (?) -
Network Bandwidth 16 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD ✔️ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ❌
GCE API Description 8 vCPUs, 16 GB RAM

Costs (Pricing) for c2d-highcpu-8

Cost and pricing across all regions for Google Cloud VM c2d-highcpu-8.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.1979 0.3539 0.4761
Spot provisioning model (Spot VM) 0.0433 0.0809 0.1197

Price per Month

Min. Avg. Max.
Price per month 144.47 258.36 347.56
Spot provisioning model (Spot VM) 31.61 59.06 87.37
1 year commitment (CUD) 91.01 162.77 218.96
3 year commitment (CUD) 65 116.26 156.41

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-8.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 268.64
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 84.1 84.1 84.1
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 131.4 131.4 131.4

Price per Region

Costs and pricing for Google Compute Engine machine type c2d-highcpu-8 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 0.1979 0.0544 144.47 91.01 65
us-central1 Iowa 🍃 5 1 0.2998 0.0683 218.89 137.89 98.49
us-east1 South Carolina 3 1 0.2998 0.0683 218.89 137.89 98.49
us-west1 Oregon 🍃 3 1 0.2998 0.0683 218.89 137.89 98.49
me-west1 Tel Aviv 1 1 0.3298 0.0798 240.78 151.68 108.34
europe-west1 Belgium 🍃 3 1 0.3302 0.0433 241.01 151.83 108.45
europe-west4 Netherlands 🍃 3 1 0.3302 0.093 241.01 151.83 108.45
northamerica-northeast2 Toronto 🍃 2 1 0.3302 0.0902 241.01 151.83 108.45
us-east4 Northern Virginia 3 1 0.3377 0.1071 246.52 155.31 110.93
us-west4 Las Vegas 3 1 0.3377 0.0838 246.52 155.31 110.93
asia-east1 Taiwan 3 1 0.3472 0.1197 253.45 159.67 114.06
europe-southwest1 Madrid 🍃 1 1 0.3538 0.0483 258.29 162.72 116.22
asia-south2 Delhi 2 1 0.3601 0.0739 262.91 165.62 118.31
us-west2 Los Angeles 1 1 0.3604 0.0725 263.12 165.76 118.4
us-west3 Salt Lake City 1 1 0.3604 0.0872 263.12 165.76 118.4
asia-southeast1 Singapore 3 1 0.3699 0.0818 270.04 170.13 121.52
asia-northeast1 Tokyo 1 1 0.3851 0.0891 281.09 177.09 126.49
asia-northeast2 Osaka 1 1 0.3851 0.0486 281.09 177.09 126.49
asia-northeast3 Seoul 3 1 0.3851 0.0486 281.09 177.09 126.49
europe-west2 London 🍃 3 1 0.3863 0.0902 282 177.66 126.9
europe-west3 Frankfurt 🍃 3 1 0.3863 0.1024 282 177.66 126.9
asia-east2 Hong Kong 1 1 0.4194 0.1015 306.2 192.91 137.79
australia-southeast1 Sydney 1 1 0.4256 0.103 310.7 195.74 139.82
southamerica-east1 São Paulo 🍃 3 1 0.4761 0.1183 347.56 218.96 156.41