Google Compute Engine Machine Type n4-highcpu-32

General-purpose Google Compute Engine machine type n4-highcpu-32 with 32 vCPU and 64 GB memory. Available in 22 Google Cloud regions.

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Google Cloud VM n4-highcpu-32

Technical facts about the Google Compute Engine machine type n4-highcpu-32.

Series N4
Family General-purpose
vCPU 32
Memory 64 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 (?) 707229
EEMBC CoreMark Standard Deviation 0.3 %
EEMBC CoreMark Sample Count 80
SAP Standard Benchmark (?) -
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 512 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 32 vCPUs, 64 GB RAM

Costs (Pricing) for n4-highcpu-32

Cost and pricing across all regions for Google Cloud VM n4-highcpu-32.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.2794 1.4923 2.0471
Spot provisioning model (Spot VM) 0.2808 0.577 1.5993

Price per Month

Min. Avg. Max.
Price per month 933.98 1089.39 1494.37
Spot provisioning model (Spot VM) 204.96 421.19 1167.47
1 year commitment (CUD) 588.41 686.31 941.45
3 year commitment (CUD) 420.29 490.22 672.47

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-32.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1074.56
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 252.29 252.29 252.29
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 379.6 379.6 379.6

Price per Region

Costs and pricing for Google Compute Engine machine type n4-highcpu-32 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 🍃 4 1 1.2794 0.5117 933.98 588.41 420.29
us-east1 South Carolina 3 1 1.2794 0.5117 933.98 588.41 420.29
us-east4 Northern Virginia 3 1 1.2794 0.4783 933.98 588.41 420.29
us-west1 Oregon 🍃 3 1 1.2794 0.5117 933.98 588.41 420.29
asia-south1 Mumbai 3 1 1.3306 0.5322 971.34 611.94 437.1
europe-north2 Stockholm 3 1 1.3434 0.5374 980.68 617.83 441.31
europe-west4 Netherlands 🍃 3 1 1.3434 0.2808 980.68 617.83 441.31
northamerica-south1 Mexico 3 1 1.3946 0.5578 1018.04 641.36 458.12
europe-west1 Belgium 🍃 3 1 1.4088 0.3817 1028.4 647.9 462.78
northamerica-northeast2 Toronto 🍃 2 1 1.4088 0.5635 1028.4 647.9 462.78
us-east5 Columbus 3 1 1.441 0.4583 1051.94 662.72 473.37
europe-west2 London 🍃 3 1 1.4585 0.5251 1064.74 670.78 479.13
europe-west9 Paris 🍃 2 1 1.4841 0.4906 1083.42 682.55 487.54
europe-west3 Frankfurt 🍃 3 1 1.5097 0.604 1102.1 694.32 495.94
us-south1 Dallas 🍃 1 1 1.5097 0.6039 1102.1 694.32 495.94
us-west3 Salt Lake City 3 1 1.538 0.5231 1122.74 707.32 505.23
asia-southeast1 Singapore 3 1 1.5784 0.5696 1152.25 725.92 518.51
australia-southeast1 Sydney 1 1 1.5993 1.5993 1167.47 735.51 525.36
asia-northeast1 Tokyo 3 1 1.643 0.4984 1199.42 755.63 539.74
asia-northeast3 Seoul 3 1 1.643 0.5309 1199.42 755.63 539.74
southamerica-east1 São Paulo 🍃 2 1 2.0316 0.8126 1483.07 934.33 667.38
me-central2 Dammam 2 1 2.0471 0.6108 1494.37 941.45 672.47