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 39 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 ❌ Optional
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) βœ”οΈ
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 0.6123 0.7253 0.9797
Spot provisioning model (Spot VM) 0.1235 0.2468 0.348

Price per Month

Min. Avg. Max.
Price per month 446.99 529.47 715.19
Spot provisioning model (Spot VM) 90.15 180.17 254.02
1 year commitment (CUD) 281.6 333.56 450.57
3 year commitment (CUD) 201.15 238.95 321.84

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 38%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa πŸƒ 4 1 0.6123 0.206 446.99 281.6 201.15
us-east1 South Carolina 3 1 0.6123 0.206 446.99 281.6 201.15
us-east4 Northern Virginia 3 1 0.6123 0.2326 446.99 281.6 201.15
us-east5 Columbus 3 1 0.6123 0.1653 446.99 281.6 201.15
us-west1 Oregon πŸƒ 3 1 0.6123 0.206 446.99 281.6 201.15
asia-south1 Mumbai 3 1 0.6368 0.2488 464.87 292.87 209.2
asia-south2 Delhi 3 1 0.6368 0.149 464.87 292.87 209.2
europe-north2 Stockholm πŸƒ 3 1 0.6429 0.2687 469.34 295.69 218.86
europe-west4 Netherlands πŸƒ 3 1 0.6429 0.17 469.34 295.69 218.86
northamerica-south1 Mexico 3 1 0.6674 0.2886 487.22 306.95 219.26
me-west1 Tel Aviv 2 1 0.6736 0.2403 491.69 309.77 221.27
africa-south1 Johannesburg 3 1 0.6742 0.313 492.18 310.07 221.49
europe-west1 Belgium πŸƒ 3 1 0.6742 0.1235 492.18 310.08 221.49
northamerica-northeast1 MontrΓ©al πŸƒ 2 1 0.6742 0.224 492.18 310.08 221.49
northamerica-northeast2 Toronto πŸƒ 2 1 0.6742 0.224 492.18 310.08 221.49
us-west4 Las Vegas 3 1 0.6897 0.3448 503.45 317.17 226.56
europe-west2 London πŸƒ 3 1 0.698 0.1941 509.57 321.03 229.31
asia-east1 Taiwan 3 1 0.709 0.3185 517.57 326.07 232.91
europe-west8 Milan 3 1 0.7103 0.193 518.51 326.66 233.34
europe-west9 Paris πŸƒ 3 1 0.7103 0.2343 518.51 326.66 233.34
europe-southwest1 Madrid πŸƒ 3 1 0.7225 0.2558 527.45 332.29 237.36
europe-west3 Frankfurt 3 1 0.7225 0.302 527.45 332.29 237.36
us-south1 Dallas πŸƒ 2 1 0.7225 0.1964 527.45 332.29 237.36
us-west2 Los Angeles 3 1 0.7361 0.2747 537.33 338.52 241.81
us-west3 Salt Lake City 3 1 0.7361 0.1999 537.33 338.52 241.81
europe-central2 Warsaw 2 1 0.7409 0.3297 540.86 340.74 243.4
me-central1 Doha 2 1 0.744 0.2224 543.1 342.15 246.47
asia-southeast1 Singapore 3 1 0.7554 0.2848 551.46 347.42 248.16
australia-southeast1 Sydney 2 1 0.7654 0.3199 558.74 352.01 260.55
asia-northeast1 Tokyo 3 1 0.7863 0.348 574.03 361.64 258.32
asia-northeast2 Osaka 2 1 0.7863 0.2513 574.03 361.64 258.32
asia-northeast3 Seoul 3 1 0.7863 0.3287 574.03 361.64 258.32
australia-southeast2 Melbourne 3 1 0.796 0.2164 581.09 366.09 261.5
europe-west6 Zurich πŸƒ 3 1 0.8021 0.2157 585.56 368.9 263.51
asia-southeast2 Jakarta 3 1 0.8234 0.3407 601.07 378.67 270.49
asia-east2 Hong Kong 2 1 0.8566 0.2077 625.3 393.94 281.39
southamerica-west1 Santiago πŸƒ 3 1 0.8756 0.2378 639.2 402.69 287.65
southamerica-east1 SΓ£o Paulo πŸƒ 3 1 0.9723 0.3446 709.78 447.16 319.41
me-central2 Dammam 2 1 0.9797 0.1986 715.19 450.57 321.84