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Google Compute Engine Machine Type m1-ultramem-160
Memory-optimized Google Compute Engine machine type m1-ultramem-160 with 160 vCPU and 3844 GB memory. GCE machine type m1-ultramem-160 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 30 Google Cloud regions.
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Google Cloud VM m1-ultramem-160
Technical facts about the Google Compute Engine machine type m1-ultramem-160.
| Series | M1 |
|---|---|
| Family | Memory-optimized |
| vCPU | 160 |
| Memory | 3844 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.2 GHz |
| CPU Turbo Frequency | 2.6 GHz |
| CPU Max. Turbo Frequency | 3.3 GHz |
| EEMBC CoreMark Benchmark (?) | 2015006 |
| EEMBC CoreMark Standard Deviation | 0.56 % |
| EEMBC CoreMark Sample Count | 2280 |
| SAP Standard Benchmark (?) | 137900 |
| 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 | 160 vCPUs, 3844 GB RAM |
Costs (Pricing) for m1-ultramem-160
Cost and pricing across all regions for Google Cloud VM m1-ultramem-160.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 25.1724 | 29.9986 | 38.0308 |
| Spot provisioning model (Spot VM) | 3.1238 | 5.4027 | 7.9008 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 12863.1 | 15329.29 | 19433.74 |
| Spot provisioning model (Spot VM) | 2280.39 | 3944 | 5767.61 |
| 1 year commitment (CUD) | 10874.72 | 12965.22 | 16455.28 |
| 3 year commitment (CUD) | 5513.92 | 6581.36 | 8356.81 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m1-ultramem-160.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 5372.8 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 1121.28 | 1121.28 | 1121.28 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 1752 | 1752 | 1752 |
Price per Region
Costs and pricing for Google Compute Engine machine type m1-ultramem-160 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 34%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 3 | 1 | 25.1724 | 5.0444 | 12863.1 | 10874.72 | 5513.92 |
| us-east1 | South Carolina | 3 | 1 | 25.1724 | 5.0444 | 12863.1 | 10874.72 | 5513.92 |
| us-west1 | Oregon 🍃 | 2 | 1 | 25.1724 | 5.0444 | 12863.1 | 10874.72 | 5513.92 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 26.4644 | 4.327 | 13523.32 | 11385.55 | 5797.98 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 26.4659 | 3.1238 | 13524.09 | 11385.55 | 5797.98 |
| me-west1 | Tel Aviv | 2 | 1 | 27.6896 | 5.8568 | 14149.41 | 11962.19 | 6065.32 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 27.6896 | 3.7765 | 14149.41 | 11962.19 | 6065.32 |
| europe-west1 | Belgium 🍃 | 2 | 1 | 27.7557 | 6.6995 | 14183.18 | 11956 | 6084.37 |
| us-west4 | Las Vegas | 2 | 1 | 28.4155 | 3.8034 | 14520.33 | 12244.73 | 6229.32 |
| us-east4 | Northern Virginia | 3 | 1 | 28.5672 | 5.7134 | 14597.84 | 12250.57 | 6148.64 |
| asia-south1 | Mumbai | 3 | 1 | 28.8696 | 5.7602 | 14752.37 | 12428.25 | 6335.7 |
| us-west2 | Los Angeles | 2 | 1 | 28.8741 | 5.8928 | 14754.68 | 13049.67 | 6616.71 |
| europe-west8 | Milan | 2 | 1 | 29.2 | 4.9064 | 14921.19 | 12614.68 | 6396.15 |
| europe-west9 | Paris 🍃 | 2 | 1 | 29.2 | 6.1762 | 14921.19 | 12614.68 | 6396.15 |
| asia-east1 | Taiwan | 2 | 1 | 29.219 | 5.8255 | 14930.89 | 12572.03 | 6408.17 |
| asia-southeast1 | Singapore | 3 | 1 | 29.6534 | 5.9248 | 15152.88 | 12928.59 | 6487.66 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 29.7034 | 4.4945 | 15178.45 | 12832.17 | 6506.43 |
| asia-south2 | Delhi | 2 | 1 | 30.2069 | 3.2253 | 15435.72 | 13049.67 | 6616.71 |
| asia-northeast1 | Tokyo | 2 | 1 | 30.6488 | 7.9008 | 15661.54 | 13326 | 6826.67 |
| asia-northeast2 | Osaka | 3 | 1 | 30.7746 | 5.2119 | 15725.84 | 13265.21 | 6741.32 |
| asia-northeast3 | Seoul | 2 | 1 | 30.7746 | 5.8384 | 15725.84 | 13265.21 | 6741.32 |
| europe-central2 | Warsaw | 2 | 1 | 30.9418 | 4.6864 | 15811.25 | 13327.17 | 6772.88 |
| europe-west2 | London 🍃 | 3 | 1 | 30.9418 | 4.7911 | 15811.25 | 13327.17 | 6772.88 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 30.9418 | 5.8931 | 15811.25 | 13327.17 | 6772.88 |
| asia-southeast2 | Jakarta | 2 | 1 | 32.3222 | 5.1338 | 16516.64 | 13934.14 | 7069 |
| australia-southeast1 | Sydney | 3 | 1 | 34.1076 | 5.7922 | 17429.01 | 14696.01 | 7460.22 |
| europe-west6 | Zurich 🍃 | 2 | 1 | 35.2414 | 6.7126 | 18008.33 | 15179.6 | 7717.86 |
| australia-southeast2 | Melbourne | 2 | 1 | 35.7448 | 6.4286 | 18265.6 | 15442.11 | 7829.77 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 35.9965 | 6.4728 | 18394.23 | 15550.85 | 7884.91 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 38.0308 | 6.5811 | 19433.74 | 16455.28 | 8356.81 |