If you like this webapp, please give it a star on GitHub! ⭐
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.
✅ Instance Picker with filter on machine type n1-highmem-96 Compare machine type n1-highmem-96
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 |
|
| CPU Base Frequency | 2 GHz |
| CPU Turbo Frequency | 2.7 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 1233066 |
| EEMBC CoreMark Standard Deviation | 0.53 % |
| EEMBC CoreMark Sample Count | 112 |
| SAP Standard Benchmark (?) | 100320 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ Optional |
| SAP Application | ✔️ Certified for SAP |
| SAP HANA | ✔️ Certified for SAP HANA |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| 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 | 6.8855 | 9.0137 |
| Spot provisioning model (Spot VM) | 1.072 | 1.7883 | 2.9326 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 2901.74 | 3518.47 | 4605.99 |
| Spot provisioning model (Spot VM) | 782.55 | 1305.48 | 2140.8 |
| 1 year commitment (CUD) | 2611.43 | 3167.27 | 4146.88 |
| 3 year commitment (CUD) | 1865.56 | 2293.89 | 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 | 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 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 🍃 | 4 | 5 | 5.6785 | 1.4269 | 2901.74 | 2611.43 | 1865.56 |
| us-east1 | South Carolina | 3 | 5 | 5.6785 | 1.4269 | 2901.74 | 2611.43 | 1865.56 |
| us-west1 | Oregon 🍃 | 3 | 5 | 5.6785 | 1.4269 | 2901.74 | 2611.43 | 1865.56 |
| me-west1 | Tel Aviv | 2 | 5 | 6.2464 | 1.1561 | 3191.91 | 3191.91 | 3191.91 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 6.2467 | 1.8683 | 3192.05 | 2872.65 | 2051.84 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 6.2513 | 2.5007 | 3194.43 | 2874.82 | 2053.66 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 6.2513 | 2.1566 | 3194.43 | 2874.98 | 2053.56 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 6.2513 | 2.0226 | 3194.43 | 2874.98 | 2053.56 |
| europe-north1 | Finland 🍃 | 3 | 5 | 6.2517 | 2.4786 | 3194.62 | 2874.82 | 2053.66 |
| us-east4 | Northern Virginia | 3 | 5 | 6.3952 | 1.3268 | 3267.94 | 2794.3 | 1995.95 |
| us-west4 | Las Vegas | 3 | 5 | 6.3952 | 1.7712 | 3267.94 | 2794.3 | 1995.95 |
| asia-east1 | Taiwan | 3 | 5 | 6.5751 | 1.0733 | 3359.89 | 3023.99 | 2160.08 |
| asia-south1 | Mumbai | 3 | 5 | 6.82 | 1.5429 | 3485.04 | 3136.16 | 2240.46 |
| asia-south2 | Delhi | 3 | 5 | 6.82 | 2.0865 | 3485.04 | 3136.16 | 2240.46 |
| us-west2 | Los Angeles | 3 | 5 | 6.8207 | 2.0949 | 3485.36 | 3136.78 | 2240.6 |
| us-west3 | Salt Lake City | 3 | 5 | 6.8207 | 1.9758 | 3485.36 | 3136.78 | 2240.6 |
| europe-central2 | Warsaw | 3 | 5 | 6.8712 | 1.072 | 3511.21 | 3160.12 | 2257.33 |
| asia-southeast1 | Singapore | 3 | 5 | 7.0049 | 1.1574 | 3579.52 | 3221.23 | 2301.15 |
| asia-northeast1 | Tokyo | 3 | 5 | 7.2808 | 1.9897 | 3720.48 | 3348.42 | 2391.48 |
| asia-northeast2 | Osaka | 3 | 5 | 7.2808 | 2.9122 | 3720.48 | 3348.42 | 2391.48 |
| asia-northeast3 | Seoul | 3 | 5 | 7.2808 | 1.6824 | 3720.48 | 3348.42 | 2391.48 |
| europe-west2 | London 🍃 | 3 | 5 | 7.3159 | 1.5217 | 3738.41 | 3361.28 | 2401.06 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 7.3159 | 1.6785 | 3738.41 | 3361.28 | 2401.06 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 7.4385 | 2.0329 | 3801.06 | 3420.74 | 2443.76 |
| asia-southeast2 | Jakarta | 3 | 5 | 7.6354 | 1.5938 | 3901.67 | 3511.14 | 2508.25 |
| asia-east2 | Hong Kong | 3 | 5 | 7.9452 | 1.9567 | 4060.02 | 3654 | 2610.02 |
| australia-southeast1 | Sydney | 3 | 5 | 8.057 | 2.9326 | 4117.15 | 3706.04 | 2647.29 |
| australia-southeast2 | Melbourne | 3 | 5 | 8.057 | 1.6972 | 4117.15 | 3706.04 | 2647.29 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 9.0137 | 1.2997 | 4605.99 | 4146.88 | 2962.15 |