Google Compute Engine Machine Type n1-highmem-96

General-purpose Google Compute Engine machine type n1-highmem-96 with 96 vCPU and 624 GB memory. GCE machine type n1-highmem-96 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 29 Google Cloud regions. Not all CPU platforms are available in all regions.

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Google Cloud VM n1-highmem-96

Technical facts about the Google Compute Engine machine type n1-highmem-96.

Series N1
Family General-purpose
vCPU 96
Memory 624 GB
CPU Manufactur Intel
CPU Platform
  • Intel Haswell
  • Intel Ivy Bridge
  • Intel Sandy Bridge
  • Intel Skylake
  • Intel Broadwell
CPU Base Frequency 2 GHz
CPU Turbo Frequency 2.7 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 1248277
EEMBC CoreMark Standard Deviation 1.3 %
EEMBC CoreMark Sample Count 9644
SAP Standard Benchmark (?) 100320
Network Bandwidth 32 Gbps
Network Tier 1 -
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD βœ”οΈ
SAP Application βœ”οΈ Certified for SAP
SAP HANA βœ”οΈ Certified for SAP HANA
Spot Provisioning Mode (Spot VM) βœ”οΈ
Sustained Use Discount (SUD) βœ”οΈ
GCE API Description 96 vCPUs, 624 GB RAM

Costs (Pricing) for n1-highmem-96

Cost and pricing across all regions for Google Cloud VM n1-highmem-96.

Price per Hour

Min. Avg. Max.
Standard price per hour 5.6785 6.9183 9.0137
Spot provisioning model (Spot VM) 0.8507 1.3663 2.4065

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 2901.74 3535.24 4605.99
Spot provisioning model (Spot VM) 620.98 997.42 1756.73
1 year commitment (CUD) 2611.43 3182.26 4146.88
3 year commitment (CUD) 1865.56 2304.58 3191.91

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-highmem-96.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 3223.68
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 94.9 75.92 72.27
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 164.25 131.4 124.83

Price per Region

Costs and pricing for Google Compute Engine machine type n1-highmem-96 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 πŸƒ 5 5 5.6785 1.1352 2901.74 2611.43 1865.56
us-east1 South Carolina 4 5 5.6785 1.1352 2901.74 2611.43 1865.56
us-west1 Oregon πŸƒ 3 5 5.6785 1.1352 2901.74 2611.43 1865.56
me-west1 Tel Aviv 2 3 6.2464 1.2912 3191.91 3191.91 3191.91
europe-west1 Belgium πŸƒ 3 5 6.2467 1.559 3192.05 2872.65 2051.84
europe-west4 Netherlands 3 5 6.2513 1.2718 3194.43 2874.82 2053.66
northamerica-northeast1 MontrΓ©al πŸƒ 3 5 6.2513 1.4891 3194.43 2874.98 2053.56
northamerica-northeast2 Toronto πŸƒ 3 4 6.2513 1.4369 3194.43 2874.98 2053.56
europe-north1 Finland πŸƒ 3 5 6.2517 1.3149 3194.62 2874.82 2053.66
us-east4 Northern Virginia 3 5 6.3952 1.1973 3267.94 2794.3 1995.95
us-west4 Las Vegas 3 3 6.3952 0.8507 3267.94 2794.3 1995.95
asia-east1 Taiwan 3 5 6.5751 1.2621 3359.89 3023.99 2160.08
asia-south1 Mumbai 3 5 6.82 1.226 3485.04 3136.16 2240.46
asia-south2 Delhi 3 4 6.82 1.8708 3485.04 3136.16 2240.46
us-west2 Los Angeles 3 5 6.8207 1.4381 3485.36 3136.78 2240.6
us-west3 Salt Lake City 3 5 6.8207 1.8047 3485.36 3136.78 2240.6
asia-southeast1 Singapore 3 5 7.0049 1.0432 3579.52 3221.23 2301.15
asia-northeast1 Tokyo 3 5 7.2808 1.5657 3720.48 3348.42 2391.48
asia-northeast2 Osaka 3 4 7.2808 1.3608 3720.48 3348.42 2391.48
asia-northeast3 Seoul 3 5 7.2808 1.3759 3720.48 3348.42 2391.48
europe-central2 Warsaw 3 4 7.3159 0.9971 3738.41 3361.28 2401.06
europe-west2 London πŸƒ 3 5 7.3159 1.4626 3738.41 3361.28 2401.06
europe-west3 Frankfurt πŸƒ 3 5 7.3159 1.3183 3738.41 3361.28 2401.06
asia-southeast2 Jakarta 3 4 7.6354 1.361 3901.67 3511.14 2508.25
asia-east2 Hong Kong 3 5 7.9452 1.0334 4060.02 3654 2610.02
europe-west6 Zurich πŸƒ 3 5 7.9452 1.6762 4060.02 3654.22 2610.2
australia-southeast1 Sydney 3 5 8.057 1.7461 4117.15 3706.04 2647.29
australia-southeast2 Melbourne 3 4 8.057 2.4065 4117.15 3706.04 2647.29
southamerica-east1 SΓ£o Paulo πŸƒ 3 5 9.0137 0.8589 4605.99 4146.88 2962.15