Google Compute Engine Machine Type c4-highcpu-48

General-purpose Google Compute Engine machine type c4-highcpu-48 with 48 vCPU and 96 GB memory. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.

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Google Cloud VM c4-highcpu-48

Technical facts about the Google Compute Engine machine type c4-highcpu-48.

Series C4
Family General-purpose
vCPU 48
Memory 96 GB
CPU Manufactur Intel
CPU Platform
  • Intel Granite Rapids
  • Intel Emerald Rapids
CPU Base Frequency 2.8 GHz
CPU Turbo Frequency 3.9 GHz
CPU Max. Turbo Frequency 4.2 GHz
EEMBC CoreMark Benchmark (?) -
EEMBC CoreMark Standard Deviation -
EEMBC CoreMark Sample Count -
SAP Standard Benchmark (?) -
Network Bandwidth 34 Gbps
Network Tier 1 50 Gbps
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 c4-highcpu-48

Cost and pricing across all regions for Google Cloud VM c4-highcpu-48.

Price per Hour

Min. Avg. Max.
Standard price per hour 2.0412 2.4263 3.266
Spot provisioning model (Spot VM) 0.6351 0.931 1.3064

Price per Month

Min. Avg. Max.
Price per month 1490.11 1771.21 2384.18
Spot provisioning model (Spot VM) 463.65 679.61 953.65
1 year commitment (CUD) 938.79 1115.89 1502.07
3 year commitment (CUD) 670.56 797.06 1072.9

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-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 c4-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 ๐Ÿƒ 4 2 2.0412 0.6939 1490.11 938.79 670.56
us-east1 South Carolina 3 2 2.0412 0.6939 1490.11 938.79 670.56
us-east4 Northern Virginia 3 2 2.0412 0.7287 1490.11 938.79 670.56
us-east5 Columbus 3 2 2.0412 0.6351 1490.11 938.79 670.56
us-west1 Oregon ๐Ÿƒ 3 2 2.0412 0.6939 1490.11 938.79 670.56
asia-south1 Mumbai 3 1 2.1229 0.8488 1549.72 976.34 697.38
asia-south2 Delhi 3 1 2.123 0.9807 1549.76 976.37 697.4
europe-north2 Stockholm 3 1 2.1433 0.8573 1564.62 985.73 704.09
europe-west4 Netherlands ๐Ÿƒ 3 2 2.1433 0.8573 1564.62 985.73 704.09
northamerica-south1 Mexico 3 1 2.225 0.89 1624.22 1023.28 730.91
me-west1 Tel Aviv 1 1 2.2454 0.7884 1639.12 1032.67 737.62
europe-north1 Finland ๐Ÿƒ 1 1 2.2476 0.899 1640.76 1033.7 738.35
europe-west1 Belgium ๐Ÿƒ 3 2 2.2476 0.8989 1640.76 1033.7 738.35
northamerica-northeast2 Toronto ๐Ÿƒ 1 2 2.2476 0.899 1640.76 1033.7 738.35
us-west4 Las Vegas 2 2 2.2991 0.9196 1678.31 1057.36 755.25
europe-west2 London ๐Ÿƒ 3 2 2.327 0.9307 1698.73 1070.22 764.44
asia-east1 Taiwan 3 2 2.3636 0.9454 1725.4 1087.03 776.44
europe-west9 Paris ๐Ÿƒ 3 1 2.3678 0.9471 1728.53 1089 777.85
europe-southwest1 Madrid ๐Ÿƒ 2 1 2.4087 0.914 1758.33 1107.77 791.26
europe-west3 Frankfurt ๐Ÿƒ 3 2 2.4087 0.9637 1758.33 1107.77 791.26
us-west2 Los Angeles 2 2 2.4538 0.9542 1791.26 1128.52 806.08
us-west3 Salt Lake City 2 2 2.4538 0.8341 1791.26 1128.52 806.08
me-central1 Doha 1 1 2.4801 0.992 1810.48 1140.63 814.73
asia-southeast1 Singapore 3 2 2.5183 1.0073 1838.35 1158.19 827.27
asia-northeast1 Tokyo 1 1 2.6214 0.8941 1913.6 1205.6 861.13
asia-northeast2 Osaka 1 1 2.6214 1.0485 1913.6 1205.6 861.13
asia-northeast3 Seoul 3 1 2.6214 0.7575 1913.6 1205.6 861.13
australia-southeast2 Melbourne 3 1 2.6536 1.0614 1937.14 1220.43 871.73
africa-south1 Johannesburg 3 1 2.67 1.068 1949.07 1227.94 877.09
europe-west6 Zurich ๐Ÿƒ 2 1 2.6742 0.9708 1952.15 1229.78 878.39
asia-southeast2 Jakarta 2 1 2.7449 1.0979 2003.75 1262.39 901.7
asia-east2 Hong Kong 3 1 2.8555 1.1422 2084.52 1313.28 938.05
southamerica-west1 Santiago ๐Ÿƒ 1 1 2.919 1.1676 2130.86 1342.47 958.9
southamerica-east1 Sรฃo Paulo ๐Ÿƒ 2 1 3.2413 1.2965 2366.15 1490.71 1064.78
me-central2 Dammam 2 1 3.266 1.3064 2384.18 1502.07 1072.9