Google Compute Engine Machine Type n2d-highcpu-4

General-purpose Google Compute Engine machine type n2d-highcpu-4 with 4 vCPU and 4 GB memory. Available in 40 Google Cloud regions.

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Google Cloud VM n2d-highcpu-4

Technical facts about the Google Compute Engine machine type n2d-highcpu-4.

Series N2D
Family General-purpose
vCPU 4
Memory 4 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 (?) 79859
EEMBC CoreMark Standard Deviation 3.15 %
EEMBC CoreMark Sample Count 2568
SAP Standard Benchmark (?) -
Network Bandwidth 10 Gbps
Network Tier 1 -
Max. Disk Size 257 TB
Max. Number of Disks 128
Local SSD ✔️
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ✔️
GCE API Description 4 vCPUs 4 GB RAM

Costs (Pricing) for n2d-highcpu-4

Cost and pricing across all regions for Google Cloud VM n2d-highcpu-4.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.0823 0.1524 0.1996
Spot provisioning model (Spot VM) 0.0157 0.0316 0.0582

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 48.1 89.02 116.6
Spot provisioning model (Spot VM) 11.43 23.07 42.47
1 year commitment (CUD) 37.87 69.92 91.8
3 year commitment (CUD) 27.05 49.94 65.57

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-4.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 134.32
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 43.8 35.04 33.58
SUSE Linux Enterprise Server for SAP 248.2 100.01 89.43
Red Hat Enterprise Linux for SAP 73 58.4 55.55

Price per Region

Costs and pricing for Google Compute Engine machine type n2d-highcpu-4 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 0.0823 0.0318 48.1 37.87 27.05
us-central1 Iowa 🍃 5 2 0.1248 0.0226 72.87 57.37 40.98
us-east1 South Carolina 4 2 0.1248 0.0226 72.87 57.37 40.98
us-east5 Columbus 3 2 0.1248 0.0179 72.87 57.37 40.98
us-west1 Oregon 🍃 3 2 0.1248 0.0226 72.87 57.37 40.98
europe-west1 Belgium 🍃 3 2 0.1372 0.0379 80.16 63.11 45.08
me-west1 Tel Aviv 3 2 0.1372 0.0262 80.16 63.11 45.08
europe-west4 Netherlands 3 2 0.1373 0.0161 80.23 63.16 45.12
northamerica-northeast1 Montréal 🍃 3 2 0.1373 0.0467 80.23 63.16 45.11
northamerica-northeast2 Toronto 🍃 3 2 0.1373 0.0299 80.23 63.16 45.11
europe-north1 Finland 🍃 3 2 0.1374 0.0214 80.24 63.16 45.12
us-east4 Northern Virginia 3 2 0.1405 0.0309 82.08 61.39 43.85
us-west4 Las Vegas 3 2 0.1405 0.0323 82.08 61.39 43.85
asia-east1 Taiwan 3 2 0.1444 0.0529 84.38 66.43 47.45
europe-west8 Milan 3 2 0.1447 0.0197 84.53 66.55 47.54
europe-west9 Paris 🍃 3 2 0.1447 0.0324 84.53 66.55 47.54
europe-southwest1 Madrid 3 2 0.1472 0.0288 85.99 67.7 48.36
us-south1 Dallas 1 2 0.1472 0.0222 85.99 67.7 48.36
asia-south2 Delhi 3 2 0.1498 0.0256 87.53 68.9 49.22
us-west2 Los Angeles 3 2 0.1498 0.0332 87.53 68.91 49.23
us-west3 Salt Lake City 3 2 0.1498 0.0362 87.53 68.91 49.23
me-central1 Doha 2 2 0.1516 0.0194 88.54 69.71 49.79
asia-southeast1 Singapore 3 2 0.1539 0.0379 89.9 70.77 50.55
asia-northeast1 Tokyo 3 2 0.1602 0.0337 93.59 73.68 52.63
asia-northeast2 Osaka 3 2 0.1602 0.0182 93.58 73.68 52.63
asia-northeast3 Seoul 3 2 0.1602 0.0315 93.58 73.68 52.63
europe-central2 Warsaw 3 2 0.1607 0.0481 93.89 73.85 52.75
europe-west2 London 🍃 3 2 0.1607 0.0299 93.89 73.85 52.75
europe-west3 Frankfurt 🍃 3 2 0.1607 0.0582 93.89 73.85 52.75
europe-west12 Turin 3 2 0.1609 0.0157 94.01 74.01 52.87
africa-south1 Johannesburg 3 2 0.1632 0.0246 95.32 75.04 53.6
asia-southeast2 Jakarta 3 2 0.1678 0.0321 97.99 77.14 55.1
europe-west6 Zurich 🍃 2 2 0.1745 0.0422 101.94 80.26 57.33
asia-east2 Hong Kong 3 2 0.1746 0.0371 101.96 80.28 57.34
australia-southeast1 Sydney 3 2 0.177 0.049 103.41 81.44 58.18
australia-southeast2 Melbourne 2 2 0.177 0.0429 103.41 81.44 58.18
southamerica-west1 Santiago 🍃 1 2 0.1784 0.0432 104.21 82.04 58.6
europe-west10 Berlin 3 2 0.1921 0.0283 112.23 88.35 63.11
southamerica-east1 São Paulo 🍃 3 2 0.198 0.0407 115.68 91.1 65.07
me-central2 Dammam 3 2 0.1996 0.0217 116.6 91.8 65.57