Google Compute Engine Machine Type n2d-highcpu-2

General-purpose Google Compute Engine machine type n2d-highcpu-2 with 2 vCPU and 2 GB memory. Available in 40 Google Cloud regions.

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Google Cloud VM n2d-highcpu-2

Technical facts about the Google Compute Engine machine type n2d-highcpu-2.

Series N2D
Family General-purpose
vCPU 2
Memory 2 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 (?) 41112
EEMBC CoreMark Standard Deviation 0.76 %
EEMBC CoreMark Sample Count 3696
SAP Standard Benchmark (?) -
Network Bandwidth 10 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 2 vCPUs 2 GB RAM

Costs (Pricing) for n2d-highcpu-2

Cost and pricing across all regions for Google Cloud VM n2d-highcpu-2.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.0412 0.0759 0.0998
Spot provisioning model (Spot VM) 0.0071 0.0164 0.0321

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 24.05 44.31 58.3
Spot provisioning model (Spot VM) 5.15 11.98 23.45
1 year commitment (CUD) 18.93 34.81 45.9
3 year commitment (CUD) 13.52 24.86 32.79

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-2.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 67.16
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 21.02 21.02 21.02
SUSE Linux Enterprise Server for SAP 124.1 50.01 44.72
Red Hat Enterprise Linux for SAP 32.85 32.85 32.85

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-highcpu-2 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 0.0412 0.014 24.05 18.93 13.52
us-central1 Iowa 🍃 5 2 0.0624 0.0129 36.44 28.69 20.49
us-east1 South Carolina 4 2 0.0624 0.0129 36.44 28.69 20.49
us-east5 Columbus 3 2 0.0624 0.0076 36.44 28.69 20.49
us-west1 Oregon 🍃 3 2 0.0624 0.0129 36.44 28.69 20.49
europe-west1 Belgium 🍃 3 2 0.0686 0.0218 40.08 31.55 22.54
me-west1 Tel Aviv 3 2 0.0686 0.0104 40.08 31.55 22.54
europe-north1 Finland 🍃 3 2 0.0687 0.0135 40.12 31.58 22.56
europe-west4 Netherlands 🍃 3 2 0.0687 0.0136 40.11 31.58 22.56
northamerica-northeast1 Montréal 🍃 3 2 0.0687 0.0247 40.11 31.58 22.56
northamerica-northeast2 Toronto 🍃 3 2 0.0687 0.0133 40.11 31.58 22.56
us-east4 Northern Virginia 3 2 0.0703 0.0172 41.04 30.7 21.92
us-west4 Las Vegas 3 2 0.0703 0.0195 41.04 30.7 21.92
asia-east1 Taiwan 3 2 0.0722 0.0289 42.19 33.22 23.73
europe-west8 Milan 3 2 0.0724 0.0071 42.27 33.28 23.77
europe-west9 Paris 🍃 3 2 0.0724 0.017 42.27 33.28 23.77
europe-southwest1 Madrid 🍃 3 2 0.0736 0.0215 43 33.85 24.18
us-south1 Dallas 🍃 2 2 0.0736 0.0124 43 33.85 24.18
asia-south2 Delhi 3 2 0.0749 0.0164 43.77 34.45 24.61
us-west2 Los Angeles 3 2 0.0749 0.0171 43.77 34.46 24.61
us-west3 Salt Lake City 3 2 0.0749 0.0162 43.77 34.46 24.61
australia-southeast2 Melbourne 2 2 0.0752 0.0235 43.95 34.61 24.72
me-central1 Doha 3 2 0.0758 0.0144 44.27 34.85 24.9
asia-southeast1 Singapore 3 2 0.077 0.0137 44.95 35.39 25.28
asia-northeast1 Tokyo 3 2 0.0801 0.0211 46.79 36.84 26.31
asia-northeast2 Osaka 3 2 0.0801 0.0107 46.79 36.84 26.31
asia-northeast3 Seoul 3 2 0.0801 0.0112 46.79 36.84 26.31
europe-central2 Warsaw 3 2 0.0804 0.0246 46.95 36.92 26.37
europe-west2 London 🍃 3 2 0.0804 0.0196 46.95 36.92 26.37
europe-west3 Frankfurt 🍃 3 2 0.0804 0.0321 46.95 36.92 26.37
europe-west12 Turin 3 2 0.0805 0.0075 47 37.01 26.43
africa-south1 Johannesburg 3 2 0.0816 0.0175 47.66 37.52 26.8
asia-southeast2 Jakarta 3 2 0.0839 0.0152 49 38.57 27.55
asia-east2 Hong Kong 3 2 0.0873 0.0239 50.98 40.14 28.67
europe-west6 Zurich 🍃 2 2 0.0873 0.0196 50.97 40.13 28.67
australia-southeast1 Sydney 3 2 0.0885 0.0182 51.7 40.72 29.09
southamerica-west1 Santiago 🍃 2 2 0.0892 0.0117 52.1 41.02 29.3
europe-west10 Berlin 🍃 3 2 0.0961 0.0113 56.11 44.18 31.56
southamerica-east1 São Paulo 🍃 3 2 0.099 0.0185 57.84 45.55 32.53
me-central2 Dammam 3 2 0.0998 0.0113 58.3 45.9 32.79