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Google Compute Engine Machine Type m1-ultramem-40
Memory-optimized Google Compute Engine machine type m1-ultramem-40 with 40 vCPU and 961 GB memory. GCE machine type m1-ultramem-40 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-40
Technical facts about the Google Compute Engine machine type m1-ultramem-40.
| Series | M1 |
|---|---|
| Family | Memory-optimized |
| vCPU | 40 |
| Memory | 961 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 (?) | 516435 |
| EEMBC CoreMark Standard Deviation | 0.27 % |
| EEMBC CoreMark Sample Count | 2272 |
| SAP Standard Benchmark (?) | 34475 |
| 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 | 40 vCPUs, 961 GB RAM |
Costs (Pricing) for m1-ultramem-40
Cost and pricing across all regions for Google Cloud VM m1-ultramem-40.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 6.2931 | 7.4997 | 9.5077 |
| Spot provisioning model (Spot VM) | 0.781 | 1.3507 | 1.9752 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 3215.77 | 3832.32 | 4858.43 |
| Spot provisioning model (Spot VM) | 570.1 | 986 | 1441.9 |
| 1 year commitment (CUD) | 2718.68 | 3241.31 | 4113.82 |
| 3 year commitment (CUD) | 1378.48 | 1645.34 | 2089.2 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m1-ultramem-40.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1343.2 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 315.36 | 315.36 | 315.36 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 474.5 | 474.5 | 474.5 |
Price per Region
Costs and pricing for Google Compute Engine machine type m1-ultramem-40 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 | 6.2931 | 1.2611 | 3215.77 | 2718.68 | 1378.48 |
| us-east1 | South Carolina | 3 | 1 | 6.2931 | 1.2611 | 3215.77 | 2718.68 | 1378.48 |
| us-west1 | Oregon 🍃 | 2 | 1 | 6.2931 | 1.2611 | 3215.77 | 2718.68 | 1378.48 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 6.6161 | 1.0818 | 3380.83 | 2846.39 | 1449.5 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 6.6165 | 0.781 | 3381.02 | 2846.39 | 1449.5 |
| me-west1 | Tel Aviv | 2 | 1 | 6.9224 | 1.4642 | 3537.35 | 2990.55 | 1516.33 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 6.9224 | 0.9441 | 3537.35 | 2990.55 | 1516.33 |
| europe-west1 | Belgium 🍃 | 2 | 1 | 6.9389 | 1.6749 | 3545.79 | 2989 | 1521.09 |
| us-west4 | Las Vegas | 2 | 1 | 7.1039 | 0.9509 | 3630.08 | 3061.18 | 1557.33 |
| us-east4 | Northern Virginia | 3 | 1 | 7.1418 | 1.4284 | 3649.46 | 3062.64 | 1537.16 |
| asia-south1 | Mumbai | 3 | 1 | 7.2174 | 1.4401 | 3688.09 | 3107.06 | 1583.92 |
| us-west2 | Los Angeles | 2 | 1 | 7.2185 | 1.4732 | 3688.67 | 3262.42 | 1654.18 |
| europe-west8 | Milan | 2 | 1 | 7.3 | 1.2266 | 3730.3 | 3153.67 | 1599.04 |
| europe-west9 | Paris 🍃 | 2 | 1 | 7.3 | 1.5441 | 3730.3 | 3153.67 | 1599.04 |
| asia-east1 | Taiwan | 2 | 1 | 7.3047 | 1.4564 | 3732.72 | 3143.01 | 1602.04 |
| asia-southeast1 | Singapore | 3 | 1 | 7.4133 | 1.4812 | 3788.22 | 3232.15 | 1621.91 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 7.4259 | 1.1236 | 3794.61 | 3208.04 | 1626.61 |
| asia-south2 | Delhi | 2 | 1 | 7.5517 | 0.8063 | 3858.93 | 3262.42 | 1654.18 |
| asia-northeast1 | Tokyo | 2 | 1 | 7.6622 | 1.9752 | 3915.38 | 3331.5 | 1706.67 |
| asia-northeast2 | Osaka | 3 | 1 | 7.6937 | 1.303 | 3931.46 | 3316.3 | 1685.33 |
| asia-northeast3 | Seoul | 2 | 1 | 7.6937 | 1.4596 | 3931.46 | 3316.3 | 1685.33 |
| europe-central2 | Warsaw | 2 | 1 | 7.7354 | 1.1716 | 3952.81 | 3331.79 | 1693.22 |
| europe-west2 | London 🍃 | 3 | 1 | 7.7354 | 1.1978 | 3952.81 | 3331.79 | 1693.22 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 7.7354 | 1.4733 | 3952.81 | 3331.79 | 1693.22 |
| asia-southeast2 | Jakarta | 2 | 1 | 8.0805 | 1.2834 | 4129.16 | 3483.53 | 1767.25 |
| australia-southeast1 | Sydney | 3 | 1 | 8.5269 | 1.4481 | 4357.25 | 3674 | 1865.06 |
| europe-west6 | Zurich 🍃 | 2 | 1 | 8.8103 | 1.6782 | 4502.08 | 3794.9 | 1929.46 |
| australia-southeast2 | Melbourne | 2 | 1 | 8.9362 | 1.6071 | 4566.4 | 3860.53 | 1957.44 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 8.9991 | 1.6182 | 4598.56 | 3887.71 | 1971.23 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 9.5077 | 1.6453 | 4858.43 | 4113.82 | 2089.2 |