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 23 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 โœ”๏ธ Optional
SAP Application โŒ
SAP HANA โŒ
Spot Provisioning Mode (Spot VM) โœ”๏ธ
Sustained Use Discount (SUD) โŒ
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 1.4199 1.9044
Spot provisioning model (Spot VM) 0.1431 0.3349 0.5052

Price per Month

Min. Avg. Max.
Price per month 577.88 1036.5 1390.25
Spot provisioning model (Spot VM) 104.47 244.5 368.76
1 year commitment (CUD) 364.04 652.99 875.86
3 year commitment (CUD) 260 466.42 625.63

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 0.1431 577.88 364.04 260
us-central1 Iowa ๐Ÿƒ 5 1 1.1994 0.3287 875.56 551.58 393.97
us-east1 South Carolina 3 1 1.1994 0.3287 875.56 551.58 393.97
us-west1 Oregon ๐Ÿƒ 3 1 1.1994 0.3287 875.56 551.58 393.97
europe-west1 Belgium ๐Ÿƒ 3 1 1.3206 0.1968 964.04 607.34 433.8
europe-west4 Netherlands ๐Ÿƒ 3 1 1.3206 0.3065 964.04 607.34 433.8
northamerica-northeast2 Toronto ๐Ÿƒ 2 1 1.3206 0.3124 964.04 607.34 433.8
us-east4 Northern Virginia 3 1 1.3508 0.5052 986.07 621.26 443.72
us-west4 Las Vegas 3 1 1.3508 0.3777 986.07 621.26 443.72
asia-east1 Taiwan 3 1 1.3888 0.4174 1013.8 638.69 456.22
europe-southwest1 Madrid ๐Ÿƒ 1 1 1.4153 0.3021 1033.16 650.86 464.88
asia-south2 Delhi 2 1 1.4406 0.2815 1051.62 662.49 473.23
us-west2 Los Angeles 1 1 1.4418 0.3489 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 0.2712 1080.14 680.5 486.07
asia-northeast1 Tokyo 1 1 1.5402 0.3169 1124.36 708.35 505.98
asia-northeast2 Osaka 1 1 1.5402 0.3169 1124.36 708.35 505.98
asia-northeast3 Seoul 3 1 1.5402 0.3169 1124.36 708.35 505.98
europe-west2 London ๐Ÿƒ 3 1 1.5452 0.3139 1128.01 710.66 507.61
europe-west3 Frankfurt ๐Ÿƒ 3 1 1.5452 0.4313 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 Sรฃo Paulo ๐Ÿƒ 3 1 1.9044 0.3919 1390.25 875.86 625.63