Google Compute Engine Machine Type n4-highcpu-16

General-purpose Google Compute Engine machine type n4-highcpu-16 with 16 vCPU and 32 GB memory. Available in 20 Google Cloud regions.

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Google Cloud VM n4-highcpu-16

Technical facts about the Google Compute Engine machine type n4-highcpu-16.

Series N4
Family General-purpose
vCPU 16
Memory 32 GB
CPU Manufactur Intel
CPU Platform
  • Intel Emerald Rapids
CPU Base Frequency 2.1 GHz
CPU Turbo Frequency 2.9 GHz
CPU Max. Turbo Frequency 3.3 GHz
EEMBC CoreMark Benchmark (?) 354814
EEMBC CoreMark Standard Deviation 0.29 %
EEMBC CoreMark Sample Count 84
SAP Standard Benchmark (?) -
Network Bandwidth 32 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 16 vCPUs, 32 GB RAM

Costs (Pricing) for n4-highcpu-16

Cost and pricing across all regions for Google Cloud VM n4-highcpu-16.

Price per Hour

Min. Avg. Max.
Standard price per hour 0.6397 0.7487 1.0235
Spot provisioning model (Spot VM) 0.1651 0.3079 0.7996

Price per Month

Min. Avg. Max.
Price per month 466.99 546.58 747.18
Spot provisioning model (Spot VM) 120.54 224.79 583.74
1 year commitment (CUD) 294.2 344.34 470.73
3 year commitment (CUD) 210.15 245.96 336.23

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-16.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 537.28
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 126.14 126.14 126.14
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 189.8 189.8 189.8

Price per Region

Costs and pricing for Google Compute Engine machine type n4-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 37%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa 🍃 4 1 0.6397 0.2176 466.99 294.2 210.15
us-east1 South Carolina 3 1 0.6397 0.2176 466.99 294.2 210.15
us-east4 Northern Virginia 3 1 0.6397 0.2517 466.99 294.2 210.15
us-west1 Oregon 🍃 1 1 0.6397 0.2176 466.99 294.2 210.15
asia-south1 Mumbai 3 1 0.6653 0.2661 485.67 305.97 218.55
europe-west4 Netherlands 🍃 3 1 0.6717 0.1651 490.34 308.91 220.65
northamerica-south1 Mexico 3 1 0.6973 0.2789 509.02 320.68 229.06
europe-west1 Belgium 🍃 3 1 0.7044 0.2244 514.2 323.95 231.39
northamerica-northeast2 Toronto 🍃 2 1 0.7044 0.2818 514.2 323.95 231.39
us-east5 Columbus 2 1 0.7205 0.2882 525.97 331.36 236.69
europe-west2 London 🍃 2 1 0.7293 0.2917 532.37 335.39 239.57
europe-west9 Paris 🍃 2 1 0.7421 0.2968 541.71 341.28 243.77
europe-west3 Frankfurt 🍃 3 1 0.7549 0.2951 551.05 347.16 247.97
us-south1 Dallas 🍃 1 1 0.7549 0.3019 551.05 347.16 247.97
asia-southeast1 Singapore 3 1 0.7892 0.2915 576.13 362.96 259.26
australia-southeast1 Sydney 1 1 0.7996 0.7996 583.74 367.75 262.68
asia-northeast1 Tokyo 3 1 0.8215 0.3286 599.71 377.82 269.87
asia-northeast3 Seoul 3 1 0.8215 0.3286 599.71 377.82 269.87
southamerica-east1 São Paulo 🍃 1 1 1.0158 0.4063 741.53 467.17 333.69
me-central2 Dammam 2 1 1.0235 0.4094 747.18 470.73 336.23