Google Compute Engine Machine Type m2-hypermem-416
Memory-optimized Google Compute Engine machine type m2-hypermem-416 with 416 vCPU and 8832 GB memory. GCE machine type m2-hypermem-416 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 22 Google Cloud regions.
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Google Cloud VM m2-hypermem-416
Technical facts about the Google Compute Engine machine type m2-hypermem-416.
| Series | M2 |
|---|---|
| Family | Memory-optimized |
| vCPU | 416 |
| Memory | 8832 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.5 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 4 GHz |
| EEMBC CoreMark Benchmark (?) | 6192759 |
| EEMBC CoreMark Standard Deviation | 2.61 % |
| EEMBC CoreMark Sample Count | 1107 |
| SAP Standard Benchmark (?) | 446650 |
| 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 | 416 vCPUs, 8.625 TB RAM |
Costs (Pricing) for m2-hypermem-416
Cost and pricing across all regions for Google Cloud VM m2-hypermem-416.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 67.2576 | 80.864 | 107.6122 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 34368.63 | 41321.49 | 54989.81 |
| 1 year commitment (CUD) | 29665.56 | 36131.31 | 47464.9 |
| 3 year commitment (CUD) | 16991.83 | 22321.51 | 41852.13 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m2-hypermem-416.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 13969.28 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 2915.33 | 2915.33 | 2915.33 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 4555.2 | 4555.2 | 4555.2 |
Price per Region
Costs and pricing for Google Compute Engine machine type m2-hypermem-416 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 | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 3 | 1 | 67.2576 | 34368.63 | 29665.56 | 16991.83 |
| us-east1 | South Carolina | 1 | 1 | 67.2576 | 34368.63 | 29665.56 | 16991.83 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 70.7073 | 36131.43 | 31077.71 | 17865.3 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 70.7112 | 36133.44 | 31077.94 | 17865.53 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 73.9834 | 37805.5 | 32632.12 | 18691.01 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 74.1568 | 37894.11 | 32627.9 | 18744.82 |
| us-west4 | Las Vegas | 2 | 1 | 75.92 | 38795.13 | 33414.37 | 19191.4 |
| us-east4 | Northern Virginia | 2 | 1 | 76.3138 | 38996.35 | 33438.31 | 19215.34 |
| asia-south1 | Mumbai | 2 | 1 | 77.1333 | 39415.12 | 33920.43 | 19513.85 |
| europe-west8 | Milan | 2 | 1 | 78.0188 | 39867.61 | 34412.06 | 19710.52 |
| asia-southeast1 | Singapore | 2 | 1 | 79.2276 | 40485.29 | 40485.29 | 40485.29 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 79.364 | 40554.99 | 35005.37 | 20050.36 |
| asia-south2 | Delhi | 2 | 1 | 80.7091 | 41242.36 | 35598.68 | 20390.2 |
| asia-northeast1 | Tokyo | 2 | 1 | 81.9024 | 41852.13 | 41852.13 | 41852.13 |
| asia-northeast2 | Osaka | 2 | 1 | 82.2318 | 42020.44 | 36201.08 | 20774.84 |
| asia-northeast3 | Seoul | 2 | 1 | 82.2318 | 42020.44 | 36201.08 | 20774.84 |
| europe-west2 | London 🍃 | 2 | 1 | 82.67 | 42244.37 | 36370.97 | 20874.18 |
| europe-west3 | Frankfurt 🍃 | 2 | 1 | 82.67 | 42244.37 | 36370.97 | 20874.18 |
| australia-southeast1 | Sydney | 2 | 1 | 91.1299 | 46567.39 | 40104.84 | 22997.38 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 96.1784 | 49147.15 | 42421.76 | 24298.32 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 101.6204 | 51928.05 | 44879.87 | 25733.08 |
| me-central2 | Dammam | 2 | 1 | 107.6122 | 54989.81 | 47464.9 | 27186.93 |