Google Compute Engine Machine Type n2d-highcpu-32

General-purpose Google Compute Engine machine type n2d-highcpu-32 with 32 vCPU and 32 GB memory. Available in 39 Google Cloud regions.

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Google Cloud VM n2d-highcpu-32

Technical facts about the Google Compute Engine machine type n2d-highcpu-32.

Series N2D
Family General-purpose
vCPU 32
Memory 32 GB
CPU Manufactur AMD
CPU Platform
  • AMD Rome
  • AMD Milan
CPU Base Frequency 2.45 GHz
CPU Turbo Frequency 2.8 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 611726
EEMBC CoreMark Standard Deviation 1.61 %
EEMBC CoreMark Sample Count 992
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD βœ”οΈ
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) βœ”οΈ
GCE API Description 32 vCPUs 32 GB RAM

Costs (Pricing) for n2d-highcpu-32

Cost and pricing across all regions for Google Cloud VM n2d-highcpu-32.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.6587 1.2202 1.5968
Spot provisioning model (Spot VM) 0.1194 0.2524 0.4614

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 384.77 712.75 932.78
Spot provisioning model (Spot VM) 87.16 184.26 336.83
1 year commitment (CUD) 302.93 559.78 734.36
3 year commitment (CUD) 216.38 399.85 524.57

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-32.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1074.56
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 94.9 75.92 72.27
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 164.25 131.4 124.83

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-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 59%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
asia-south1 Mumbai 3 2 0.6587 0.242 384.77 302.93 216.38
us-central1 Iowa πŸƒ 5 2 0.998 0.2006 582.99 458.98 327.86
us-east1 South Carolina 4 2 0.998 0.2006 582.99 458.98 327.86
us-east5 Columbus 3 2 0.998 0.1687 582.99 458.98 327.86
us-west1 Oregon πŸƒ 3 2 0.998 0.2006 582.99 458.98 327.86
me-west1 Tel Aviv 3 2 1.0978 0.1825 641.29 504.88 360.64
europe-west1 Belgium πŸƒ 3 2 1.0979 0.3033 641.31 504.88 360.63
europe-north1 Finland πŸƒ 3 2 1.0988 0.1898 641.89 505.3 360.94
europe-west4 Netherlands 3 2 1.0988 0.1466 641.83 505.3 360.94
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 1.0988 0.3734 641.83 505.3 360.89
northamerica-northeast2 Toronto πŸƒ 3 2 1.0988 0.2658 641.83 505.3 360.89
us-east4 Northern Virginia 3 2 1.1241 0.2355 656.62 491.12 350.8
us-west4 Las Vegas 3 2 1.1241 0.2584 656.62 491.12 350.8
asia-east1 Taiwan 3 2 1.1556 0.368 675.03 531.44 379.62
europe-west8 Milan 3 2 1.1577 0.1753 676.26 532.41 380.31
europe-west9 Paris πŸƒ 3 2 1.1577 0.2355 676.26 532.41 380.31
europe-southwest1 Madrid 3 2 1.1777 0.2192 687.92 541.59 386.87
asia-south2 Delhi 3 2 1.1988 0.2047 700.25 551.23 393.76
us-west2 Los Angeles 3 2 1.1988 0.279 700.25 551.3 393.8
us-west3 Salt Lake City 3 2 1.1988 0.29 700.25 551.3 393.8
me-central1 Doha 2 2 1.2126 0.1829 708.33 557.66 398.35
asia-southeast1 Singapore 3 2 1.2312 0.3033 719.22 566.18 404.43
asia-northeast1 Tokyo 3 2 1.2817 0.2448 748.7 589.42 421.02
asia-northeast2 Osaka 3 2 1.2817 0.1459 748.68 589.42 421.02
asia-northeast3 Seoul 3 2 1.2817 0.2192 748.68 589.42 421.02
europe-central2 Warsaw 3 2 1.2859 0.3345 751.13 590.8 422
europe-west2 London πŸƒ 3 2 1.2859 0.2816 751.13 590.8 422
europe-west3 Frankfurt πŸƒ 3 2 1.2859 0.423 751.13 590.8 422
europe-west12 Turin 3 2 1.2874 0.1194 752.05 592.08 422.94
africa-south1 Johannesburg 3 2 1.3054 0.1969 762.55 600.34 428.84
asia-southeast2 Jakarta 3 2 1.342 0.2231 783.95 617.13 440.83
europe-west6 Zurich πŸƒ 2 2 1.3961 0.3379 815.54 642.05 458.65
asia-east2 Hong Kong 3 2 1.3964 0.258 815.71 642.21 458.7
australia-southeast1 Sydney 3 2 1.4162 0.4614 827.24 651.56 465.4
australia-southeast2 Melbourne 2 2 1.4162 0.3429 827.24 651.56 465.4
southamerica-west1 Santiago πŸƒ 1 2 1.4272 0.3454 833.67 656.34 468.84
europe-west10 Berlin 3 2 1.5369 0.1971 897.8 706.83 504.9
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 1.5843 0.2828 925.44 728.76 520.53
me-central2 Dammam 3 2 1.5968 0.2047 932.78 734.36 524.57