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 38 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 โŒ Optional
SAP Application โŒ
SAP HANA โŒ
Spot Provisioning Mode (Spot VM) โœ”๏ธ
Sustained Use Discount (SUD) โŒ
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 1.837 2.1899 2.9391
Spot provisioning model (Spot VM) 0.433 0.8282 2.2962

Price per Month

Min. Avg. Max.
Price per month 1340.98 1598.64 2145.57
Spot provisioning model (Spot VM) 316.06 604.62 1676.23
1 year commitment (CUD) 844.81 1007.14 1351.7
3 year commitment (CUD) 603.46 721.5 965.53

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 37%.

Region Location #Zones #Platf. Hour Spot Month 1Y CUD 3Y CUD
us-central1 Iowa ๐Ÿƒ 4 1 1.837 0.6198 1340.98 844.81 603.46
us-east1 South Carolina 3 1 1.837 0.6198 1340.98 844.81 603.46
us-east4 Northern Virginia 3 1 1.837 0.6044 1340.98 844.81 603.46
us-east5 Columbus 3 1 1.837 0.4959 1340.98 844.81 603.46
us-west1 Oregon ๐Ÿƒ 3 1 1.837 0.6198 1340.98 844.81 603.46
asia-south1 Mumbai 3 1 1.9104 0.7982 1394.62 878.61 627.6
asia-south2 Delhi 3 1 1.9104 0.5845 1394.62 878.61 627.6
europe-north2 Stockholm 3 1 1.9288 0.806 1408.03 887.06 656.59
europe-west4 Netherlands ๐Ÿƒ 3 1 1.9288 0.5714 1408.03 887.06 656.59
northamerica-south1 Mexico 3 1 2.0023 0.8367 1461.67 920.85 657.77
me-west1 Tel Aviv 2 1 2.0207 0.821 1475.08 929.3 663.8
europe-west1 Belgium ๐Ÿƒ 3 1 2.0227 0.433 1476.55 930.23 664.47
northamerica-northeast2 Toronto ๐Ÿƒ 2 1 2.0227 0.7187 1476.55 930.23 664.47
us-west4 Las Vegas 3 1 2.069 0.8646 1510.35 951.51 679.68
europe-west2 London ๐Ÿƒ 3 1 2.0941 0.5839 1528.72 963.09 687.94
asia-east1 Taiwan 3 1 2.127 0.7557 1552.72 978.21 698.74
europe-west8 Milan 3 1 2.1309 0.757 1555.54 979.98 700.01
europe-west9 Paris ๐Ÿƒ 2 1 2.1309 0.7028 1555.54 979.98 700.01
europe-southwest1 Madrid ๐Ÿƒ 3 1 2.1676 0.8411 1582.36 996.88 712.08
europe-west3 Frankfurt ๐Ÿƒ 3 1 2.1676 0.906 1582.36 996.88 712.08
us-south1 Dallas ๐Ÿƒ 2 1 2.1676 0.7699 1582.36 996.88 712.08
us-west2 Los Angeles 1 1 2.2082 0.9228 1611.99 1015.55 725.42
us-west3 Salt Lake City 3 1 2.2082 0.7841 1611.99 1015.55 725.42
europe-central2 Warsaw 2 1 2.2227 0.989 1622.59 1022.23 730.19
me-central1 Doha 2 1 2.2319 0.8188 1629.29 1026.45 739.41
asia-southeast1 Singapore 3 1 2.2663 0.8544 1654.37 1042.25 744.49
australia-southeast1 Sydney 2 1 2.2962 2.2962 1676.23 1056.02 781.66
asia-northeast1 Tokyo 3 1 2.359 0.9042 1722.09 1084.91 774.96
asia-northeast2 Osaka 2 1 2.359 0.9858 1722.09 1084.91 774.96
asia-northeast3 Seoul 3 1 2.359 0.986 1722.09 1084.91 774.96
australia-southeast2 Melbourne 3 1 2.388 0.8483 1743.28 1098.26 784.5
africa-south1 Johannesburg 3 1 2.4027 0.9762 1754 1105.02 789.32
europe-west6 Zurich ๐Ÿƒ 2 1 2.4064 0.8017 1756.68 1106.71 790.53
asia-southeast2 Jakarta 3 1 2.4702 1.0323 1803.22 1136.02 811.47
asia-east2 Hong Kong 2 1 2.5697 0.8152 1875.9 1181.81 844.18
southamerica-west1 Santiago ๐Ÿƒ 3 1 2.6269 0.9331 1917.6 1208.08 862.95
southamerica-east1 Sรฃo Paulo ๐Ÿƒ 3 1 2.9169 1.0362 2129.34 1341.48 958.23
me-central2 Dammam 2 1 2.9391 0.7788 2145.57 1351.7 965.53