Google Compute Engine Machine Type c2d-highcpu-32

Compute-optimized Google Compute Engine machine type c2d-highcpu-32 with 32 vCPU and 64 GB memory. Available in 24 Google Cloud regions.

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Google Cloud VM c2d-highcpu-32

Technical facts about the Google Compute Engine machine type c2d-highcpu-32.

Series C2D
Family Compute-optimized
vCPU 32
Memory 64 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 (?) 710036
EEMBC CoreMark Standard Deviation 0.62 %
EEMBC CoreMark Sample Count 160
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 50 Gbps
Max. Disk Size 512 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 32 vCPUs, 64 GB RAM

Costs (Pricing) for c2d-highcpu-32

Cost and pricing across all regions for Google Cloud VM c2d-highcpu-32.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.7916 1.4157 1.9044
Spot provisioning model (Spot VM) 0.1558 0.3256 0.5027

Price per Month

Min. Avg. Max.
Price per month 577.88 1033.44 1390.25
Spot provisioning model (Spot VM) 113.72 237.68 366.94
1 year commitment (CUD) 364.04 651.06 875.86
3 year commitment (CUD) 260 465.04 625.63

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c2d-highcpu-32.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1074.56
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 252.29 252.29 252.29
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 379.6 379.6 379.6

Price per Region

Costs and pricing for Google Compute Engine machine type c2d-highcpu-32 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 0.7916 0.2504 577.88 364.04 260
us-central1 Iowa 🍃 5 1 1.1994 0.3004 875.56 551.58 393.97
us-east1 South Carolina 3 1 1.1994 0.3004 875.56 551.58 393.97
us-west1 Oregon 🍃 3 1 1.1994 0.3004 875.56 551.58 393.97
me-west1 Tel Aviv 1 1 1.3193 0.3193 963.11 606.73 433.36
europe-west1 Belgium 🍃 3 1 1.3206 0.1558 964.04 607.34 433.8
europe-west4 Netherlands 🍃 3 1 1.3206 0.4276 964.04 607.34 433.8
northamerica-northeast2 Toronto 🍃 2 1 1.3206 0.3787 964.04 607.34 433.8
us-east4 Northern Virginia 3 1 1.3508 0.3643 986.07 621.26 443.72
us-west4 Las Vegas 3 1 1.3508 0.3518 986.07 621.26 443.72
asia-east1 Taiwan 3 1 1.3888 0.5027 1013.8 638.69 456.22
europe-southwest1 Madrid 🍃 1 1 1.4153 0.2221 1033.16 650.86 464.88
asia-south2 Delhi 2 1 1.4406 0.2957 1051.62 662.49 473.23
us-west2 Los Angeles 1 1 1.4418 0.2466 1052.48 663.05 473.6
us-west3 Salt Lake City 1 1 1.4418 0.3489 1052.48 663.05 473.6
asia-southeast1 Singapore 3 1 1.4796 0.3765 1080.14 680.5 486.07
asia-northeast1 Tokyo 1 1 1.5402 0.3027 1124.36 708.35 505.98
asia-northeast2 Osaka 1 1 1.5402 0.1652 1124.36 708.35 505.98
asia-northeast3 Seoul 3 1 1.5402 0.2139 1124.36 708.35 505.98
europe-west2 London 🍃 3 1 1.5452 0.3609 1128.01 710.66 507.61
europe-west3 Frankfurt 🍃 3 1 1.5452 0.4098 1128.01 710.66 507.61
asia-east2 Hong Kong 1 1 1.6778 0.406 1224.79 771.63 551.16
australia-southeast1 Sydney 1 1 1.7025 0.412 1242.8 782.96 559.29
southamerica-east1 São Paulo 🍃 3 1 1.9044 0.4024 1390.25 875.86 625.63