Google Compute Engine Machine Type n2-highmem-96

General-purpose Google Compute Engine machine type n2-highmem-96 with 96 vCPU and 768 GB memory. GCE machine type n2-highmem-96 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 40 Google Cloud regions.

βœ… Instance Picker with filter on machine type n2-highmem-96 Compare machine type n2-highmem-96

Google Cloud VM n2-highmem-96

Technical facts about the Google Compute Engine machine type n2-highmem-96.

Series N2
Family General-purpose
vCPU 96
Memory 768 GB
CPU Manufactur Intel
CPU Platform
  • Intel Ice Lake
  • Intel Cascade Lake
CPU Base Frequency 2.6 GHz
CPU Turbo Frequency 3.4 GHz
CPU Max. Turbo Frequency 3.5 GHz
EEMBC CoreMark Benchmark (?) 1643949
EEMBC CoreMark Standard Deviation 1.1 %
EEMBC CoreMark Sample Count 112
SAP Standard Benchmark (?) 160080
Network Bandwidth 32 Gbps
Network Tier 1 100 Gbps
Max. Disk Size 512 TB
Max. Number of Disks 128
Local SSD βœ”οΈ Optional
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 768 GB RAM

Costs (Pricing) for n2-highmem-96

Cost and pricing across all regions for Google Cloud VM n2-highmem-96.

Price per Hour

Min. Avg. Max.
Standard price per hour 6.2887 7.6341 10.0619
Spot provisioning model (Spot VM) 0.657 2.2764 4.6489

Price per Month

Min. Avg. Max.
Price per month with sustained use discount (SUD) 3673.5 4459.43 5877.6
Spot provisioning model (Spot VM) 479.63 1661.74 3393.69
1 year commitment (CUD) 2891.99 3502.44 4627.19
3 year commitment (CUD) 2066.03 2501.89 3305.65

Operating System Licenses Costs

Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highmem-96.

Operating System Month 1Y CUD 3Y CUD
Microsoft Windows Server 3223.68
SUSE Linux Enterprise Server 80.3
Red Hat Enterprise Linux 756.86 756.86 756.86
SUSE Linux Enterprise Server for SAP 299.3 119.94 107.75
Red Hat Enterprise Linux for SAP 1138.8 1138.8 1138.8

Price per Region

Costs and pricing for Google Compute Engine machine type n2-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 4 2 6.2887 2.7116 3673.5 2891.99 2066.03
us-east1 South Carolina 3 2 6.2887 2.7116 3673.5 2891.99 2066.03
us-east5 Columbus 3 2 6.2887 3.1315 3673.5 2891.99 2066.03
us-west1 Oregon πŸƒ 3 2 6.2887 2.7116 3673.5 2891.99 2066.03
me-west1 Tel Aviv 3 2 6.9175 3.2684 4040.85 3181.19 2272.63
africa-south1 Johannesburg 3 2 6.9179 2.4549 4041.04 3181.28 2272.27
europe-west1 Belgium πŸƒ 3 2 6.9179 1.3795 4041.04 3181.28 2272.27
europe-west4 Netherlands πŸƒ 3 2 6.9229 2.6496 4044.01 3183.66 2274.31
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 6.9229 2.0844 4044.01 3183.66 2273.68
northamerica-northeast2 Toronto πŸƒ 3 2 6.9229 0.657 4044.01 3183.66 2273.68
europe-north1 Finland πŸƒ 3 2 6.9233 2.9633 4044.23 3183.66 2274.31
us-west4 Las Vegas 3 2 7.082 3.4606 4136.93 3094.52 2210.39
us-east4 Northern Virginia 3 2 7.0822 1.474 4137.04 3094.52 2210.39
asia-east1 Taiwan 3 2 7.2816 2.5764 4253.52 3348.91 2392.18
europe-west8 Milan 3 2 7.2949 0.935 4261.26 3354.71 2396.59
europe-west9 Paris πŸƒ 3 2 7.2949 1.8981 4261.26 3354.71 2396.59
europe-southwest1 Madrid πŸƒ 3 2 7.4206 1.5972 4334.73 3412.55 2437.91
us-south1 Dallas πŸƒ 3 2 7.4206 1.7401 4334.73 3412.55 2437.91
asia-south1 Mumbai 3 2 7.5527 2.4175 4411.88 3473.02 2481.18
asia-south2 Delhi 3 2 7.5527 0.6801 4411.88 3473.02 2481.18
us-west2 Los Angeles 3 2 7.5535 2.3537 4412.33 3473.8 2481.32
us-west3 Salt Lake City 3 2 7.5535 2.4328 4412.33 3473.8 2481.32
australia-southeast2 Melbourne 3 2 7.584 2.9829 4430.16 3488.37 2491.41
europe-central2 Warsaw 3 2 7.6095 2.0953 4445.08 3499.66 2500.17
me-central1 Doha 3 2 7.6407 1.7103 4463.31 3513.77 2510.22
asia-southeast1 Singapore 3 2 7.7575 2.7466 4531.5 3567.28 2548.39
asia-northeast1 Tokyo 3 2 8.0611 2.1162 4708.87 3707.3 2647.76
asia-northeast2 Osaka 3 2 8.0758 2.0893 4717.45 3714.17 2653.23
asia-northeast3 Seoul 3 2 8.0758 2.783 4717.45 3714.17 2653.23
europe-west2 London πŸƒ 3 2 8.1018 1.4901 4732.65 3722.37 2658.48
europe-west3 Frankfurt 3 2 8.1018 3.0712 4732.65 3722.37 2658.48
europe-west10 Berlin 3 2 8.1021 1.6491 4732.79 3722.36 2658.58
europe-west12 Turin 3 2 8.1124 1.315 4738.82 3730.67 2665.18
europe-west6 Zurich πŸƒ 3 2 8.2384 2.5271 4812.45 3788.95 2706.42
asia-southeast2 Jakarta 3 2 8.4556 4.6489 4939.33 3888.34 2777.74
asia-east2 Hong Kong 3 2 8.7989 2.6717 5139.83 4046.21 2890.1
australia-southeast1 Sydney 3 2 8.9226 3.2565 5212.12 4104.02 2931.31
southamerica-west1 Santiago πŸƒ 3 2 8.9928 2.0291 5253.11 4135.55 2954.42
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 9.9821 2.132 5830.99 4592.48 3280.37
me-central2 Dammam 3 2 10.0619 1.4509 5877.6 4627.19 3305.65