Google Compute Engine Machine Type n4-standard-48

General-purpose Google Compute Engine machine type n4-standard-48 with 48 vCPU and 192 GB memory. Available in 20 Google Cloud regions.

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Google Cloud VM n4-standard-48

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

Series N4
Family General-purpose
vCPU 48
Memory 192 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 (?) 1057781
EEMBC CoreMark Standard Deviation 2.09 %
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 ❌
SAP Application ❌
SAP HANA ❌
Spot Provisioning Mode (Spot VM) ✔️
Sustained Use Discount (SUD) ❌
GCE API Description 48 vCPUs, 192 GB RAM

Costs (Pricing) for n4-standard-48

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

Price per Hour

Min. Avg. Max.
Standard price per hour 2.2745 2.6622 3.6392
Spot provisioning model (Spot VM) 0.587 1.0944 2.8432

Price per Month

Min. Avg. Max.
Price per month 1660.41 1943.38 2656.65
Spot provisioning model (Spot VM) 428.54 798.89 2075.51
1 year commitment (CUD) 1046.06 1224.33 1673.69
3 year commitment (CUD) 747.18 874.52 1195.49

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-standard-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-standard-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 2.2745 0.7736 1660.41 1046.06 747.18
us-east1 South Carolina 3 1 2.2745 0.7736 1660.41 1046.06 747.18
us-east4 Northern Virginia 3 1 2.2745 0.885 1660.41 1046.06 747.18
us-west1 Oregon 🍃 1 1 2.2745 0.7736 1660.41 1046.06 747.18
asia-south1 Mumbai 3 1 2.3655 0.9462 1726.82 1087.9 777.07
europe-west4 Netherlands 🍃 3 1 2.3883 0.587 1743.43 1098.36 784.54
northamerica-south1 Mexico 3 1 2.4792 0.9917 1809.84 1140.2 814.43
europe-west1 Belgium 🍃 3 1 2.5045 0.798 1828.27 1151.81 822.72
northamerica-northeast2 Toronto 🍃 2 1 2.5045 1.0018 1828.27 1151.81 822.72
us-east5 Columbus 2 1 2.5618 1.0247 1870.11 1178.17 841.55
europe-west2 London 🍃 2 1 2.593 1.0372 1892.86 1192.5 851.79
europe-west9 Paris 🍃 2 1 2.6385 1.0554 1926.07 1213.42 866.73
europe-west3 Frankfurt 🍃 3 1 2.6839 1.0494 1959.28 1234.35 881.68
us-south1 Dallas 🍃 1 1 2.6839 1.0736 1959.28 1234.35 881.68
asia-southeast1 Singapore 3 1 2.8061 1.0364 2048.44 1290.52 921.8
australia-southeast1 Sydney 1 1 2.8432 2.8432 2075.51 1307.57 933.98
asia-northeast1 Tokyo 3 1 2.9209 1.1684 2132.29 1343.34 959.53
asia-northeast3 Seoul 3 1 2.9209 1.1684 2132.29 1343.34 959.53
southamerica-east1 São Paulo 🍃 1 1 3.6117 1.4447 2636.56 1661.03 1186.45
me-central2 Dammam 2 1 3.6392 1.4557 2656.65 1673.69 1195.49