Google Compute Engine Machine Type n4-highmem-32

General-purpose Google Compute Engine machine type n4-highmem-32 with 32 vCPU and 256 GB memory. Available in 38 Google Cloud regions.

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Google Cloud VM n4-highmem-32

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

Series N4
Family General-purpose
vCPU 32
Memory 256 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 (?) 704876
EEMBC CoreMark Standard Deviation 2.13 %
EEMBC CoreMark Sample Count 84
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, 256 GB RAM

Costs (Pricing) for n4-highmem-32

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

Price per Hour

Min. Avg. Max.
Standard price per hour 1.9902 2.3792 3.1843
Spot provisioning model (Spot VM) 0.449 0.8595 2.4878

Price per Month

Min. Avg. Max.
Price per month 1452.85 1736.84 2324.56
Spot provisioning model (Spot VM) 327.74 627.43 1816.06
1 year commitment (CUD) 915.3 1094.21 1464.47
3 year commitment (CUD) 653.78 781.58 1046.05

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highmem-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-highmem-32 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 1.9902 0.6428 1452.85 915.3 653.78
us-east1 South Carolina 3 1 1.9902 0.6428 1452.85 915.3 653.78
us-east4 Northern Virginia 3 1 1.9902 0.6105 1452.85 915.3 653.78
us-west1 Oregon 🍃 3 1 1.9902 0.6428 1452.85 915.3 653.78
asia-south1 Mumbai 3 1 2.0698 0.8278 1510.97 951.91 679.93
asia-south2 Delhi 3 1 2.0699 0.6362 1511.01 951.94 679.96
europe-north2 Stockholm 3 1 2.0897 0.8359 1525.49 961.06 686.47
europe-west4 Netherlands 🍃 3 1 2.0897 0.5925 1525.49 961.06 686.47
northamerica-south1 Mexico 3 1 2.1693 0.8677 1583.61 997.67 712.62
me-west1 Tel Aviv 2 1 2.1892 0.8133 1598.14 1006.83 719.16
europe-west1 Belgium 🍃 3 1 2.1914 0.449 1599.74 1007.83 719.88
northamerica-northeast2 Toronto 🍃 2 1 2.1914 0.7452 1599.74 1007.83 719.88
us-east5 Columbus 3 1 2.2416 0.5142 1636.35 1030.9 736.36
us-west4 Las Vegas 3 1 2.2416 0.8966 1636.35 1030.9 736.36
europe-west2 London 🍃 3 1 2.2688 0.6056 1656.25 1043.44 745.31
asia-east1 Taiwan 3 1 2.3045 0.7836 1682.26 1059.82 757.02
europe-west8 Milan 3 1 2.3086 0.785 1685.31 1061.74 758.39
europe-west9 Paris 🍃 2 1 2.3086 0.6963 1685.31 1061.74 758.39
europe-southwest1 Madrid 🍃 3 1 2.3484 0.7667 1714.37 1080.05 771.46
europe-west3 Frankfurt 🍃 3 1 2.3484 0.9394 1714.37 1080.05 771.46
us-south1 Dallas 🍃 2 1 2.3484 0.7984 1714.37 1080.05 771.46
us-west2 Los Angeles 1 1 2.3924 0.957 1746.47 1100.28 785.91
us-west3 Salt Lake City 3 1 2.3924 0.8132 1746.47 1100.28 785.91
europe-central2 Warsaw 2 1 2.408 1.0257 1757.86 1107.45 791.04
me-central1 Doha 2 1 2.4181 0.8913 1765.21 1112.09 794.35
asia-southeast1 Singapore 3 1 2.4553 0.8864 1792.38 1129.2 806.57
australia-southeast1 Sydney 2 1 2.4878 2.4878 1816.06 1144.12 817.23
asia-northeast1 Tokyo 3 1 2.5558 0.9377 1865.75 1175.42 839.59
asia-northeast2 Osaka 2 1 2.5558 1.0223 1865.75 1175.42 839.59
asia-northeast3 Seoul 3 1 2.5558 1.0223 1865.75 1175.42 839.59
australia-southeast2 Melbourne 3 1 2.5873 0.8796 1888.71 1189.89 849.92
africa-south1 Johannesburg 3 1 2.6032 0.9668 1900.33 1197.21 855.15
europe-west6 Zurich 🍃 2 1 2.6073 0.8726 1903.34 1199.04 856.46
asia-southeast2 Jakarta 3 1 2.6762 1.0705 1953.65 1230.8 879.14
asia-east2 Hong Kong 2 1 2.7841 0.8453 2032.39 1280.41 914.58
southamerica-west1 Santiago 🍃 3 1 2.846 0.9677 2077.58 1308.87 934.91
southamerica-east1 São Paulo 🍃 3 1 3.1603 1.0746 2306.98 1453.4 1038.14
me-central2 Dammam 2 1 3.1843 0.8479 2324.56 1464.47 1046.05