Google Compute Engine Machine Type n2-highmem-64
General-purpose Google Compute Engine machine type n2-highmem-64 with 64 vCPU and 512 GB memory. GCE machine type n2-highmem-64 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 40 Google Cloud regions.
✅ Instance Picker with filter on machine type n2-highmem-64 Compare machine type n2-highmem-64
Google Cloud VM n2-highmem-64
Technical facts about the Google Compute Engine machine type n2-highmem-64.
| Series | N2 |
|---|---|
| Family | General-purpose |
| vCPU | 64 |
| Memory | 512 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.6 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.5 GHz |
| EEMBC CoreMark Benchmark (?) | 1097943 |
| EEMBC CoreMark Standard Deviation | 1.34 % |
| EEMBC CoreMark Sample Count | 160 |
| SAP Standard Benchmark (?) | 114370 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 75 Gbps |
| 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 | 64 vCPUs 512 GB RAM |
Costs (Pricing) for n2-highmem-64
Cost and pricing across all regions for Google Cloud VM n2-highmem-64.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 4.1924 | 5.0894 | 6.7079 |
| Spot provisioning model (Spot VM) | 0.4154 | 1.671 | 3.0368 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 2449 | 2972.95 | 3918.4 |
| Spot provisioning model (Spot VM) | 303.21 | 1219.84 | 2216.86 |
| 1 year commitment (CUD) | 1927.99 | 2334.96 | 3084.79 |
| 3 year commitment (CUD) | 1377.35 | 1667.92 | 2203.76 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highmem-64.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 2149.12 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 504.58 | 504.58 | 504.58 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 759.2 | 759.2 | 759.2 |
Price per Region
Costs and pricing for Google Compute Engine machine type n2-highmem-64 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 2 | 4.1924 | 2.5149 | 2449 | 1927.99 | 1377.35 |
| us-east1 | South Carolina | 3 | 2 | 4.1924 | 2.5149 | 2449 | 1927.99 | 1377.35 |
| us-east5 | Columbus | 3 | 2 | 4.1924 | 2.5156 | 2449 | 1927.99 | 1377.35 |
| us-west1 | Oregon 🍃 | 3 | 2 | 4.1924 | 2.5149 | 2449 | 1927.99 | 1377.35 |
| me-west1 | Tel Aviv | 3 | 2 | 4.6117 | 2.7291 | 2693.9 | 2120.79 | 1515.09 |
| africa-south1 | Johannesburg | 3 | 2 | 4.6119 | 1.2483 | 2694.03 | 2120.85 | 1514.85 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 4.6119 | 0.994 | 2694.03 | 2120.85 | 1514.85 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 4.6153 | 1.2212 | 2696.01 | 2122.44 | 1516.2 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 4.6153 | 2.0146 | 2696.01 | 2122.44 | 1515.78 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 4.6153 | 0.4154 | 2696.01 | 2122.44 | 1515.78 |
| europe-north1 | Finland 🍃 | 3 | 2 | 4.6156 | 2.1348 | 2696.16 | 2122.44 | 1516.2 |
| us-west4 | Las Vegas | 3 | 2 | 4.7213 | 2.4946 | 2757.95 | 2063.02 | 1473.6 |
| us-east4 | Northern Virginia | 3 | 2 | 4.7215 | 1.2401 | 2758.03 | 2063.02 | 1473.6 |
| asia-east1 | Taiwan | 3 | 2 | 4.8544 | 1.5288 | 2835.68 | 2232.61 | 1594.79 |
| europe-west8 | Milan | 3 | 2 | 4.8632 | 0.5027 | 2840.84 | 2236.47 | 1597.73 |
| europe-west9 | Paris 🍃 | 3 | 2 | 4.8632 | 1.433 | 2840.84 | 2236.47 | 1597.73 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 4.9471 | 1.3436 | 2889.82 | 2275.03 | 1625.28 |
| us-south1 | Dallas 🍃 | 3 | 2 | 4.9471 | 0.8858 | 2889.82 | 2275.03 | 1625.28 |
| asia-south1 | Mumbai | 3 | 2 | 5.0351 | 1.6644 | 2941.25 | 2315.35 | 1654.12 |
| asia-south2 | Delhi | 3 | 2 | 5.0351 | 0.4534 | 2941.25 | 2315.35 | 1654.12 |
| us-west2 | Los Angeles | 3 | 2 | 5.0356 | 1.7884 | 2941.55 | 2315.86 | 1654.22 |
| us-west3 | Salt Lake City | 3 | 2 | 5.0356 | 1.7526 | 2941.55 | 2315.86 | 1654.22 |
| australia-southeast2 | Melbourne | 3 | 2 | 5.056 | 2.4724 | 2953.44 | 2325.58 | 1660.94 |
| europe-central2 | Warsaw | 3 | 2 | 5.073 | 1.7487 | 2963.39 | 2333.1 | 1666.78 |
| me-central1 | Doha | 3 | 2 | 5.0938 | 0.913 | 2975.54 | 2342.51 | 1673.48 |
| asia-southeast1 | Singapore | 3 | 2 | 5.1716 | 2.0741 | 3021 | 2378.19 | 1698.93 |
| asia-northeast1 | Tokyo | 3 | 2 | 5.3741 | 1.5553 | 3139.25 | 2471.53 | 1765.18 |
| asia-northeast2 | Osaka | 3 | 2 | 5.3839 | 1.4281 | 3144.97 | 2476.11 | 1768.82 |
| asia-northeast3 | Seoul | 3 | 2 | 5.3839 | 1.6419 | 3144.97 | 2476.11 | 1768.82 |
| europe-west2 | London 🍃 | 3 | 2 | 5.4012 | 1.1345 | 3155.1 | 2481.58 | 1772.32 |
| europe-west3 | Frankfurt | 3 | 2 | 5.4012 | 2.8335 | 3155.1 | 2481.58 | 1772.32 |
| europe-west10 | Berlin | 3 | 2 | 5.4014 | 0.6881 | 3155.19 | 2481.57 | 1772.38 |
| europe-west12 | Turin | 3 | 2 | 5.4083 | 1.0542 | 3159.21 | 2487.11 | 1776.78 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 5.4923 | 1.9086 | 3208.3 | 2525.96 | 1804.28 |
| asia-southeast2 | Jakarta | 3 | 2 | 5.6371 | 3.0368 | 3292.89 | 2592.23 | 1851.83 |
| asia-east2 | Hong Kong | 3 | 2 | 5.8659 | 1.7414 | 3426.55 | 2697.47 | 1926.73 |
| australia-southeast1 | Sydney | 3 | 2 | 5.9484 | 2.5933 | 3474.74 | 2736.02 | 1954.2 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 5.9952 | 1.4628 | 3502.07 | 2757.03 | 1969.61 |
| southamerica-east1 | São Paulo 🍃 | 3 | 2 | 6.6547 | 1.5375 | 3887.33 | 3061.66 | 2186.92 |
| me-central2 | Dammam | 3 | 2 | 6.7079 | 1.1113 | 3918.4 | 3084.79 | 2203.76 |