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 39 Google Cloud regions.

βœ… Instance Picker with filter on machine type n4-highmem-32 Compare machine type n4-highmem-32

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) βœ”οΈ
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 1.9043 2.2557 3.0469
Spot provisioning model (Spot VM) 0.4044 0.7706 1.0312

Price per Month

Min. Avg. Max.
Price per month 1390.15 1646.64 2224.25
Spot provisioning model (Spot VM) 295.18 562.56 752.75
1 year commitment (CUD) 875.77 1037.35 1401.23
3 year commitment (CUD) 625.58 742.68 1000.93

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 38%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa πŸƒ 4 1 1.9043 0.6105 1390.15 875.77 625.58
us-east1 South Carolina 3 1 1.9043 0.6105 1390.15 875.77 625.58
us-east4 Northern Virginia 3 1 1.9043 0.641 1390.15 875.77 625.58
us-east5 Columbus 3 1 1.9043 0.5142 1390.15 875.77 625.58
us-west1 Oregon πŸƒ 3 1 1.9043 0.6105 1390.15 875.77 625.58
asia-south1 Mumbai 3 1 1.9805 0.7037 1445.76 910.8 650.6
asia-south2 Delhi 3 1 1.9805 0.5407 1445.76 910.8 650.6
europe-north2 Stockholm πŸƒ 3 1 1.9995 0.8359 1459.66 919.55 672.17
europe-west4 Netherlands πŸƒ 3 1 1.9995 0.5039 1459.66 919.55 672.17
northamerica-south1 Mexico 3 1 2.0757 0.9977 1515.27 954.59 681.88
me-west1 Tel Aviv 2 1 2.0948 0.76 1529.17 963.34 688.14
africa-south1 Johannesburg 3 1 2.0968 0.9036 1530.7 964.31 688.83
europe-west1 Belgium πŸƒ 3 1 2.0968 0.4044 1530.7 964.31 688.83
northamerica-northeast1 MontrΓ©al πŸƒ 1 1 2.0968 0.6334 1530.7 964.31 688.83
northamerica-northeast2 Toronto πŸƒ 2 1 2.0968 0.6334 1530.7 964.31 688.83
us-west4 Las Vegas 3 1 2.1448 1.0312 1565.73 986.38 704.59
europe-west2 London πŸƒ 3 1 2.1709 0.5753 1584.78 998.37 713.16
asia-east1 Taiwan 3 1 2.205 0.9011 1609.66 1014.05 724.36
europe-west8 Milan 3 1 2.209 0.6671 1612.58 1015.89 725.67
europe-west9 Paris πŸƒ 3 1 2.209 0.6963 1612.58 1015.89 725.67
europe-southwest1 Madrid πŸƒ 3 1 2.2471 0.7667 1640.38 1033.4 738.19
europe-west3 Frankfurt 3 1 2.2471 0.9394 1640.38 1033.4 738.19
us-south1 Dallas πŸƒ 2 1 2.2471 0.6786 1640.38 1033.4 738.19
us-west2 Los Angeles 2 1 2.2892 0.8136 1671.1 1052.76 752.01
us-west3 Salt Lake City 3 1 2.2892 0.6911 1671.1 1052.76 752.01
europe-central2 Warsaw 2 1 2.3042 1.0257 1682.09 1059.68 756.95
me-central1 Doha 2 1 2.3137 0.8267 1689.04 1064.06 776.63
asia-southeast1 Singapore 3 1 2.3494 0.8864 1715.03 1080.43 771.78
australia-southeast1 Sydney 2 1 2.3804 0.9951 1737.69 1094.71 800.2
asia-northeast1 Tokyo 3 1 2.4455 1.0312 1785.24 1124.66 803.37
asia-northeast2 Osaka 2 1 2.4455 0.8687 1785.24 1124.66 803.37
asia-northeast3 Seoul 3 1 2.4455 1.0223 1785.24 1124.66 803.37
australia-southeast2 Melbourne 3 1 2.4756 0.7478 1807.2 1138.5 813.26
europe-west6 Zurich πŸƒ 3 1 2.4947 0.7416 1821.1 1147.25 819.51
asia-southeast2 Jakarta 3 1 2.5607 0.9634 1869.34 1177.64 841.22
asia-east2 Hong Kong 2 1 2.664 0.7183 1944.69 1225.11 875.13
southamerica-west1 Santiago πŸƒ 3 1 2.7232 0.8224 1987.92 1252.35 894.58
southamerica-east1 SΓ£o Paulo πŸƒ 3 1 3.0239 1.0209 2207.42 1390.63 993.36
me-central2 Dammam 2 1 3.0469 0.7206 2224.25 1401.23 1000.93