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) 0.623 2.5159 4.8188

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) 454.82 1836.61 3517.74
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 3.7724 3673.5 2891.99 2066.03
us-east1 South Carolina 3 2 6.2887 3.7724 3673.5 2891.99 2066.03
us-east5 Columbus 3 2 6.2887 3.7734 3673.5 2891.99 2066.03
us-west1 Oregon πŸƒ 3 2 6.2887 3.7724 3673.5 2891.99 2066.03
me-west1 Tel Aviv 3 2 6.9175 3.5693 4040.85 3181.19 2272.63
africa-south1 Johannesburg 3 2 6.9179 1.983 4041.04 3181.28 2272.27
europe-west1 Belgium πŸƒ 3 2 6.9179 1.7443 4041.04 3181.28 2272.27
europe-west4 Netherlands πŸƒ 3 2 6.9229 2.1421 4044.01 3183.66 2274.31
northamerica-northeast1 MontrΓ©al πŸƒ 3 2 6.9229 3.0516 4044.01 3183.66 2273.68
northamerica-northeast2 Toronto πŸƒ 3 2 6.9229 0.623 4044.01 3183.66 2273.68
europe-north1 Finland πŸƒ 3 2 6.9233 3.066 4044.23 3183.66 2274.31
us-west4 Las Vegas 3 2 7.082 3.7793 4136.93 3094.52 2210.39
us-east4 Northern Virginia 3 2 7.0822 1.7793 4137.04 3094.52 2210.39
asia-east1 Taiwan 3 2 7.2816 2.6826 4253.52 3348.91 2392.18
europe-west8 Milan 3 2 7.2949 0.7974 4261.26 3354.71 2396.59
europe-west9 Paris πŸƒ 3 2 7.2949 2.2737 4261.26 3354.71 2396.59
europe-southwest1 Madrid πŸƒ 3 2 7.4206 1.7443 4334.73 3412.55 2437.91
us-south1 Dallas πŸƒ 3 2 7.4206 1.406 4334.73 3412.55 2437.91
asia-south1 Mumbai 3 2 7.5527 2.6402 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 2.5705 4412.33 3473.8 2481.32
us-west3 Salt Lake City 3 2 7.5535 2.5177 4412.33 3473.8 2481.32
australia-southeast2 Melbourne 3 2 7.584 3.0864 4430.16 3488.37 2491.41
europe-central2 Warsaw 3 2 7.6095 2.6486 4445.08 3499.66 2500.17
me-central1 Doha 3 2 7.6407 1.7697 4463.31 3513.77 2510.22
asia-southeast1 Singapore 3 2 7.7575 3.2915 4531.5 3567.28 2548.39
asia-northeast1 Tokyo 3 2 8.0611 2.2216 4708.87 3707.3 2647.76
asia-northeast2 Osaka 3 2 8.0758 2.2671 4717.45 3714.17 2653.23
asia-northeast3 Seoul 3 2 8.0758 2.7492 4717.45 3714.17 2653.23
europe-west2 London πŸƒ 3 2 8.1018 1.6278 4732.65 3722.37 2658.48
europe-west3 Frankfurt 3 2 8.1018 3.8813 4732.65 3722.37 2658.48
europe-west10 Berlin 3 2 8.1021 1.152 4732.79 3722.36 2658.58
europe-west12 Turin 3 2 8.1124 1.5141 4738.82 3730.67 2665.18
europe-west6 Zurich πŸƒ 3 2 8.2384 2.8919 4812.45 3788.95 2706.42
asia-southeast2 Jakarta 3 2 8.4556 4.8188 4939.33 3888.34 2777.74
asia-east2 Hong Kong 3 2 8.7989 2.6385 5139.83 4046.21 2890.1
australia-southeast1 Sydney 3 2 8.9226 4.1169 5212.12 4104.02 2931.31
southamerica-west1 Santiago πŸƒ 3 2 8.9928 2.2163 5253.11 4135.55 2954.42
southamerica-east1 SΓ£o Paulo πŸƒ 3 2 9.9821 2.0114 5830.99 4592.48 3280.37
me-central2 Dammam 3 2 10.0619 1.5921 5877.6 4627.19 3305.65