Google Compute Engine Machine Type n4-highcpu-48

General-purpose Google Compute Engine machine type n4-highcpu-48 with 48 vCPU and 96 GB memory. Available in 22 Google Cloud regions.

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Google Cloud VM n4-highcpu-48

Technical facts about the Google Compute Engine machine type n4-highcpu-48.

Series N4
Family General-purpose
vCPU 48
Memory 96 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 (?) 1058224
EEMBC CoreMark Standard Deviation 0.19 %
EEMBC CoreMark Sample Count 88
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 48 vCPUs, 96 GB RAM

Costs (Pricing) for n4-highcpu-48

Cost and pricing across all regions for Google Cloud VM n4-highcpu-48.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.9191 2.2385 3.0706
Spot provisioning model (Spot VM) 0.4212 0.8655 2.3989

Price per Month

Min. Avg. Max.
Price per month 1400.97 1634.08 2241.55
Spot provisioning model (Spot VM) 307.44 631.79 1751.21
1 year commitment (CUD) 882.61 1029.47 1412.18
3 year commitment (CUD) 630.44 735.34 1008.7

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-48.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 1611.84
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 378.43 378.43 378.43
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 569.4 569.4 569.4

Price per Region

Costs and pricing for Google Compute Engine machine type n4-highcpu-48 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 1.9191 0.7676 1400.97 882.61 630.44
us-east1 South Carolina 3 1 1.9191 0.7676 1400.97 882.61 630.44
us-east4 Northern Virginia 3 1 1.9191 0.7175 1400.97 882.61 630.44
us-west1 Oregon 🍃 3 1 1.9191 0.7676 1400.97 882.61 630.44
asia-south1 Mumbai 3 1 1.9959 0.7984 1457.01 917.92 655.65
europe-north2 Stockholm 3 1 2.0151 0.806 1471.02 926.74 661.96
europe-west4 Netherlands 🍃 3 1 2.0151 0.4212 1471.02 926.74 661.96
northamerica-south1 Mexico 3 1 2.0919 0.8367 1527.06 962.05 687.18
europe-west1 Belgium 🍃 3 1 2.1132 0.5725 1542.61 971.84 694.17
northamerica-northeast2 Toronto 🍃 2 1 2.1132 0.8453 1542.61 971.84 694.17
us-east5 Columbus 3 1 2.1615 0.6875 1577.91 994.08 710.06
europe-west2 London 🍃 3 1 2.1878 0.7876 1597.1 1006.18 718.7
europe-west9 Paris 🍃 2 1 2.2262 0.7359 1625.12 1023.83 731.31
europe-west3 Frankfurt 🍃 3 1 2.2646 0.906 1653.14 1041.48 743.91
us-south1 Dallas 🍃 1 1 2.2646 0.9058 1653.14 1041.48 743.91
us-west3 Salt Lake City 3 1 2.307 0.7846 1684.11 1060.99 757.85
asia-southeast1 Singapore 3 1 2.3676 0.8544 1728.38 1088.88 777.77
australia-southeast1 Sydney 1 1 2.3989 2.3989 1751.21 1103.26 788.05
asia-northeast1 Tokyo 3 1 2.4646 0.7476 1799.12 1133.45 809.61
asia-northeast3 Seoul 3 1 2.4646 0.7964 1799.12 1133.45 809.61
southamerica-east1 São Paulo 🍃 2 1 3.0474 1.219 2224.6 1401.5 1001.07
me-central2 Dammam 2 1 3.0706 0.9162 2241.55 1412.18 1008.7