Google Compute Engine Machine Type c4a-highcpu-48

General-purpose Google Compute Engine machine type c4a-highcpu-48 with 48 vCPU and 96 GB memory. Available in 24 Google Cloud regions.

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Google Cloud VM c4a-highcpu-48

Technical facts about the Google Compute Engine machine type c4a-highcpu-48.

Series C4A
Family General-purpose
vCPU 48
Memory 96 GB
CPU Manufactur Arm
CPU Platform
  • Google Axion
CPU Base Frequency 3 GHz
CPU Turbo Frequency 3 GHz
CPU Max. Turbo Frequency 3 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 32
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 c4a-highcpu-48

Cost and pricing across all regions for Google Cloud VM c4a-highcpu-48.

Price per Hour

Min. Avg. Max.
Standard price per hour 1.8182 2.0953 2.9098
Spot provisioning model (Spot VM) 0.414 0.76 1.1672

Price per Month

Min. Avg. Max.
Price per month 1327.32 1529.53 2124.12
Spot provisioning model (Spot VM) 302.26 554.79 852.03
1 year commitment (CUD) 875.65 1009.06 1401.25
3 year commitment (CUD) 581.42 687.78 955.89

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4a-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 c4a-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 1 1.8182 0.537 1327.32 875.65 597.43
us-east1 South Carolina 3 1 1.8182 0.537 1327.32 875.65 597.43
us-east4 Northern Virginia 3 1 1.8182 0.6853 1327.32 875.65 597.43
us-east5 Columbus 2 1 1.8182 0.6542 1327.32 875.65 581.42
us-west1 Oregon ๐Ÿƒ 2 1 1.8182 0.537 1327.32 875.65 597.43
asia-south1 Mumbai 2 1 1.8909 0.8433 1380.37 910.65 621.47
europe-north2 Stockholm ๐Ÿƒ 2 1 1.9091 0.7681 1393.61 919.48 627.39
europe-west4 Netherlands ๐Ÿƒ 3 1 1.9091 0.414 1393.61 919.48 627.39
northamerica-south1 Mexico 2 1 1.9819 0.6968 1446.77 954.45 651.18
europe-north1 Finland ๐Ÿƒ 2 1 2.0021 0.5019 1461.51 964.18 657.83
europe-west1 Belgium ๐Ÿƒ 3 1 2.0021 0.8004 1461.51 964.18 657.83
us-west4 Las Vegas 3 1 2.0479 0.8185 1494.95 986.24 672.89
europe-west2 London ๐Ÿƒ 3 1 2.0727 0.8139 1513.1 998.22 680.9
asia-east1 Taiwan 3 1 2.1053 0.7276 1536.9 1013.91 691.77
europe-southwest1 Madrid ๐Ÿƒ 3 1 2.1456 0.802 1566.25 1033.29 704.93
europe-west3 Frankfurt 3 1 2.1456 0.7056 1566.25 1033.29 704.93
us-south1 Dallas ๐Ÿƒ 2 1 2.1456 0.7716 1566.25 1033.29 704.93
us-west2 Los Angeles 3 1 2.1857 0.8168 1595.57 1052.62 718.17
europe-central2 Warsaw 1 1 2.2 0.8427 1606 1059.5 722.87
asia-southeast1 Singapore 3 1 2.2432 0.9886 1637.51 1080.29 737.05
asia-northeast1 Tokyo 2 1 2.335 1.1672 1704.54 1124.51 767.22
australia-southeast2 Melbourne 3 1 2.3635 0.7244 1725.37 1138.1 776.49
southamerica-west1 Santiago ๐Ÿƒ 1 1 2.6001 1.0392 1898.05 1252.15 854.31
me-central2 Dammam 1 1 2.9098 1.0465 2124.12 1401.25 955.89