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Google Compute Engine Machine Type n1-highmem-64
General-purpose Google Compute Engine machine type n1-highmem-64 with 64 vCPU and 416 GB memory. GCE machine type n1-highmem-64 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 29 Google Cloud regions.
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Google Cloud VM n1-highmem-64
Technical facts about the Google Compute Engine machine type n1-highmem-64.
| Series | N1 |
|---|---|
| Family | General-purpose |
| vCPU | 64 |
| Memory | 416 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 (?) | 817050 |
| EEMBC CoreMark Standard Deviation | 0.88 % |
| EEMBC CoreMark Sample Count | 160 |
| SAP Standard Benchmark (?) | 66880 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 512 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| 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, 416 GB RAM |
Costs (Pricing) for n1-highmem-64
Cost and pricing across all regions for Google Cloud VM n1-highmem-64.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 3.7857 | 4.6122 | 6.0091 |
| Spot provisioning model (Spot VM) | 0.6223 | 1.0512 | 2.0158 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 1934.49 | 2356.82 | 3070.66 |
| Spot provisioning model (Spot VM) | 454.31 | 767.35 | 1471.56 |
| 1 year commitment (CUD) | 1740.95 | 2121.51 | 2764.59 |
| 3 year commitment (CUD) | 1243.71 | 1536.39 | 2127.94 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n1-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 n1-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 37%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 5 | 3.7857 | 0.981 | 1934.49 | 1740.95 | 1243.71 |
| us-east1 | South Carolina | 4 | 5 | 3.7857 | 0.981 | 1934.49 | 1740.95 | 1243.71 |
| us-west1 | Oregon 🍃 | 3 | 5 | 3.7857 | 0.981 | 1934.49 | 1740.95 | 1243.71 |
| me-west1 | Tel Aviv | 2 | 5 | 4.1643 | 0.7313 | 2127.94 | 2127.94 | 2127.94 |
| europe-west1 | Belgium 🍃 | 3 | 5 | 4.1644 | 1.1433 | 2128.03 | 1915.1 | 1367.89 |
| europe-west4 | Netherlands 🍃 | 3 | 5 | 4.1676 | 0.9328 | 2129.62 | 1916.55 | 1369.11 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 5 | 4.1676 | 0.9457 | 2129.62 | 1916.65 | 1369.04 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 5 | 4.1676 | 1.1842 | 2129.62 | 1916.65 | 1369.04 |
| europe-north1 | Finland 🍃 | 3 | 5 | 4.1678 | 1.0347 | 2129.75 | 1916.55 | 1369.11 |
| us-east4 | Northern Virginia | 3 | 5 | 4.2635 | 0.9911 | 2178.63 | 1862.87 | 1330.63 |
| us-west4 | Las Vegas | 3 | 5 | 4.2635 | 0.7764 | 2178.63 | 1862.87 | 1330.63 |
| asia-east1 | Taiwan | 3 | 5 | 4.3834 | 0.8414 | 2239.93 | 2015.99 | 1440.05 |
| asia-south1 | Mumbai | 3 | 5 | 4.5467 | 0.8582 | 2323.36 | 2090.77 | 1493.64 |
| asia-south2 | Delhi | 3 | 5 | 4.5467 | 1.2852 | 2323.36 | 2090.77 | 1493.64 |
| us-west2 | Los Angeles | 3 | 5 | 4.5471 | 1.2202 | 2323.57 | 2091.19 | 1493.73 |
| us-west3 | Salt Lake City | 3 | 5 | 4.5471 | 1.3172 | 2323.57 | 2091.19 | 1493.73 |
| asia-southeast1 | Singapore | 3 | 5 | 4.67 | 0.7998 | 2386.35 | 2147.48 | 1534.1 |
| asia-northeast1 | Tokyo | 3 | 5 | 4.8539 | 1.0961 | 2480.32 | 2232.28 | 1594.32 |
| asia-northeast2 | Osaka | 3 | 5 | 4.8539 | 1.3229 | 2480.32 | 2232.28 | 1594.32 |
| asia-northeast3 | Seoul | 3 | 5 | 4.8539 | 0.8477 | 2480.32 | 2232.28 | 1594.32 |
| europe-central2 | Warsaw | 3 | 5 | 4.8772 | 0.7307 | 2492.27 | 2240.85 | 1600.71 |
| europe-west2 | London 🍃 | 3 | 5 | 4.8772 | 1.0145 | 2492.27 | 2240.85 | 1600.71 |
| europe-west3 | Frankfurt 🍃 | 3 | 5 | 4.8772 | 1.0104 | 2492.27 | 2240.85 | 1600.71 |
| asia-southeast2 | Jakarta | 3 | 5 | 5.0902 | 1.0844 | 2601.12 | 2340.76 | 1672.17 |
| asia-east2 | Hong Kong | 3 | 5 | 5.2968 | 0.8612 | 2706.68 | 2436 | 1740.01 |
| europe-west6 | Zurich 🍃 | 3 | 5 | 5.2968 | 1.1732 | 2706.68 | 2436.14 | 1740.13 |
| australia-southeast1 | Sydney | 3 | 5 | 5.3714 | 1.7003 | 2744.76 | 2470.69 | 1764.86 |
| australia-southeast2 | Melbourne | 3 | 5 | 5.3714 | 2.0158 | 2744.76 | 2470.69 | 1764.86 |
| southamerica-east1 | São Paulo 🍃 | 3 | 5 | 6.0091 | 0.6223 | 3070.66 | 2764.59 | 1974.77 |