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Google Compute Engine Machine Type n1-highcpu-96
General-purpose Google Compute Engine machine type n1-highcpu-96 with 96 vCPU and 86.4 GB memory. Available in 29 Google Cloud regions.
✅ Instance Picker with filter on machine type n1-highcpu-96 Compare machine type n1-highcpu-96
Google Cloud VM n1-highcpu-96
Technical facts about the Google Compute Engine machine type n1-highcpu-96.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 96 |
| Memory | 86.4 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 (?) | 1232561 |
| EEMBC CoreMark Standard Deviation | 0.3 % |
| EEMBC CoreMark Sample Count | 112 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 96 vCPUs, 86 GB RAM |
Costs (Pricing) for n1-highcpu-96
Cost and pricing across all regions for Google Cloud VM n1-highcpu-96.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 3.4007 | 4.1441 | 5.3983 |
| Spot provisioning model (Spot VM) | 0.5142 | 0.8898 | 1.5749 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1737.77 | 2117.65 | 2758.54 |
| Spot provisioning model (Spot VM) | 375.35 | 649.58 | 1149.66 |
| 1 year commitment (CUD) | 1563.98 | 1906.25 | 2483.29 |
| 3 year commitment (CUD) | 1117.17 | 1380.46 | 1911.55 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-highcpu-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-highcpu-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 🍃 | 5 | 5 | 3.4007 | 0.8566 | 1737.77 | 1563.98 | 1117.17 |
| us-east1 | South Carolina | 4 | 5 | 3.4007 | 0.8566 | 1737.77 | 1563.98 | 1117.17 |
| us-west1 | Oregon 🍃 | 3 | 5 | 3.4007 | 0.8566 | 1737.77 | 1563.98 | 1117.17 |
| me-west1 | Tel Aviv | 2 | 5 | 3.7408 | 0.7734 | 1911.55 | 1911.55 | 1911.55 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 3.7409 | 0.9338 | 1911.61 | 1720.42 | 1228.87 |
| europe-west4 | Netherlands | 3 | 5 | 3.744 | 0.76 | 1913.16 | 1721.81 | 1229.91 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 3.744 | 0.8902 | 1913.16 | 1721.85 | 1229.89 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 3.744 | 0.8047 | 1913.16 | 1721.85 | 1229.89 |
| europe-north1 | Finland 🍃 | 3 | 5 | 3.7443 | 0.9509 | 1913.36 | 1721.81 | 1229.91 |
| us-east4 | Northern Virginia | 3 | 5 | 3.8303 | 0.9366 | 1957.28 | 1673.47 | 1195.35 |
| us-west4 | Las Vegas | 3 | 5 | 3.8303 | 0.6743 | 1957.28 | 1673.47 | 1195.35 |
| asia-east1 | Taiwan | 3 | 5 | 3.9377 | 0.7562 | 2012.15 | 1810.93 | 1293.55 |
| asia-south1 | Mumbai | 3 | 5 | 4.0847 | 0.7346 | 2087.29 | 1878.36 | 1341.75 |
| asia-south2 | Delhi | 3 | 5 | 4.0847 | 1.2941 | 2087.29 | 1878.36 | 1341.75 |
| us-west2 | Los Angeles | 3 | 5 | 4.0848 | 0.9473 | 2087.34 | 1878.59 | 1341.89 |
| us-west3 | Salt Lake City | 3 | 5 | 4.0848 | 0.9779 | 2087.34 | 1878.59 | 1341.89 |
| asia-southeast1 | Singapore | 3 | 5 | 4.1954 | 0.625 | 2143.86 | 1929.29 | 1378.11 |
| asia-northeast1 | Tokyo | 3 | 5 | 4.3675 | 0.9388 | 2231.81 | 2008.6 | 1434.69 |
| asia-northeast2 | Osaka | 3 | 5 | 4.3675 | 0.986 | 2231.81 | 2008.6 | 1434.69 |
| asia-northeast3 | Seoul | 3 | 5 | 4.3675 | 0.7367 | 2231.81 | 2008.6 | 1434.69 |
| europe-central2 | Warsaw | 3 | 5 | 4.3817 | 0.5971 | 2239.02 | 2013.22 | 1438.04 |
| europe-west2 | London 🍃 | 3 | 5 | 4.3817 | 1.0132 | 2239.02 | 2013.22 | 1438.04 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 4.3817 | 0.7888 | 2239.02 | 2013.22 | 1438.04 |
| asia-southeast2 | Jakarta | 3 | 5 | 4.573 | 1.0315 | 2336.81 | 2102.92 | 1502.14 |
| asia-east2 | Hong Kong | 3 | 5 | 4.7584 | 0.746 | 2431.52 | 2188.36 | 1563.12 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 4.7584 | 1.002 | 2431.52 | 2188.42 | 1563.15 |
| australia-southeast1 | Sydney | 3 | 5 | 4.8255 | 1.2477 | 2465.84 | 2220.23 | 1585.91 |
| australia-southeast2 | Melbourne | 3 | 5 | 4.8255 | 1.5749 | 2465.84 | 2220.23 | 1585.91 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 5.3983 | 0.5142 | 2758.54 | 2483.29 | 1773.78 |