Google Compute Engine Machine Type n2d-highcpu-16

General-purpose Google Compute Engine machine type n2d-highcpu-16 with 16 vCPU and 16 GB memory. Available in 39 Google Cloud regions.

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Google Cloud VM n2d-highcpu-16

Technical facts about the Google Compute Engine machine type n2d-highcpu-16.

Series N2D
Family General-purpose
vCPU 16
Memory 16 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 (?) 304014
EEMBC CoreMark Standard Deviation 2.62 %
EEMBC CoreMark Sample Count 1940
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 257 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 16 vCPUs 16 GB RAM

Costs (Pricing) for n2d-highcpu-16

Cost and pricing across all regions for Google Cloud VM n2d-highcpu-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.3293 0.6101 0.7984
Spot provisioning model (Spot VM) 0.0597 0.1262 0.2307

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 192.38 356.37 466.39
Spot provisioning model (Spot VM) 43.58 92.13 168.41
1 year commitment (CUD) 151.47 279.89 367.18
3 year commitment (CUD) 108.19 199.93 262.29

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2d-highcpu-16.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 537.28
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-16 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 0.3293 0.121 192.38 151.47 108.19
us-central1 Iowa πŸƒ 5 2 0.499 0.1003 291.49 229.49 163.93
us-east1 South Carolina 4 2 0.499 0.1003 291.49 229.49 163.93
us-east5 Columbus 3 2 0.499 0.0844 291.49 229.49 163.93
us-west1 Oregon πŸƒ 3 2 0.499 0.1003 291.49 229.49 163.93
europe-west1 Belgium πŸƒ 3 2 0.5489 0.1517 320.65 252.44 180.32
me-west1 Tel Aviv 3 2 0.5489 0.0913 320.64 252.44 180.32
europe-north1 Finland πŸƒ 3 2 0.5494 0.0949 320.94 252.65 180.47
europe-west4 Netherlands 3 2 0.5494 0.0733 320.92 252.65 180.47
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 0.5494 0.1867 320.92 252.65 180.44
northamerica-northeast2 Toronto πŸƒ 3 2 0.5494 0.1329 320.92 252.65 180.44
us-east4 Northern Virginia 3 2 0.562 0.1178 328.31 245.56 175.4
us-west4 Las Vegas 3 2 0.562 0.1292 328.31 245.56 175.4
asia-east1 Taiwan 3 2 0.5778 0.184 337.51 265.72 189.81
europe-west8 Milan 3 2 0.5788 0.0876 338.13 266.21 190.16
europe-west9 Paris πŸƒ 3 2 0.5788 0.1177 338.13 266.21 190.16
europe-southwest1 Madrid 3 2 0.5888 0.1096 343.96 270.8 193.44
asia-south2 Delhi 3 2 0.5994 0.1023 350.12 275.61 196.88
us-west2 Los Angeles 3 2 0.5994 0.1395 350.12 275.65 196.9
us-west3 Salt Lake City 3 2 0.5994 0.145 350.12 275.65 196.9
me-central1 Doha 2 2 0.6063 0.0914 354.16 278.83 199.17
asia-southeast1 Singapore 3 2 0.6156 0.1516 359.61 283.09 202.22
asia-northeast1 Tokyo 3 2 0.6408 0.1224 374.35 294.71 210.51
asia-northeast2 Osaka 3 2 0.6408 0.0729 374.34 294.71 210.51
asia-northeast3 Seoul 3 2 0.6408 0.1096 374.34 294.71 210.51
europe-central2 Warsaw 3 2 0.6429 0.1672 375.56 295.4 211
europe-west2 London πŸƒ 3 2 0.6429 0.1408 375.56 295.4 211
europe-west3 Frankfurt πŸƒ 3 2 0.6429 0.2115 375.56 295.4 211
europe-west12 Turin 3 2 0.6437 0.0597 376.03 296.04 211.47
africa-south1 Johannesburg 3 2 0.6527 0.0984 381.27 300.17 214.42
asia-southeast2 Jakarta 3 2 0.671 0.1116 391.97 308.57 220.42
europe-west6 Zurich πŸƒ 2 2 0.6981 0.1689 407.77 321.02 229.33
asia-east2 Hong Kong 3 2 0.6982 0.129 407.86 321.11 229.35
australia-southeast1 Sydney 3 2 0.7081 0.2307 413.62 325.78 232.7
australia-southeast2 Melbourne 2 2 0.7081 0.1715 413.62 325.78 232.7
southamerica-west1 Santiago πŸƒ 1 2 0.7136 0.1727 416.84 328.17 234.42
europe-west10 Berlin 3 2 0.7685 0.0985 448.9 353.41 252.45
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 0.7921 0.1414 462.72 364.38 260.27
me-central2 Dammam 3 2 0.7984 0.1023 466.39 367.18 262.29