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Google Compute Engine Machine Type m3-ultramem-128
Memory-optimized Google Compute Engine machine type m3-ultramem-128 with 128 vCPU and 3904 GB memory. GCE machine type m3-ultramem-128 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 m3-ultramem-128
Technical facts about the Google Compute Engine machine type m3-ultramem-128.
| Series | M3 |
|---|---|
| Family | Memory-optimized |
| vCPU | 128 |
| Memory | 3904 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 (?) | 2190379 |
| EEMBC CoreMark Standard Deviation | 0.62 % |
| EEMBC CoreMark Sample Count | 1128 |
| SAP Standard Benchmark (?) | 184800 |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 100 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 | 128 vCPUs, 3904 GB RAM |
Costs (Pricing) for m3-ultramem-128
Cost and pricing across all regions for Google Cloud VM m3-ultramem-128.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 24.285 | 28.9566 | 38.9837 |
| Spot provisioning model (Spot VM) | 2.9892 | 5.5852 | 9.7057 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 17728.06 | 21138.34 | 28458.09 |
| Spot provisioning model (Spot VM) | 2182.1 | 4077.18 | 7085.18 |
| 1 year commitment (CUD) | 10492.48 | 12510.88 | 16843.12 |
| 3 year commitment (CUD) | 5319.35 | 6342.61 | 8538.92 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m3-ultramem-128.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 4298.24 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 897.02 | 897.02 | 897.02 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 1401.6 | 1401.6 | 1401.6 |
Price per Region
Costs and pricing for Google Compute Engine machine type m3-ultramem-128 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-east4 | Northern Virginia | 2 | 1 | 24.285 | 4.0998 | 17728.06 | 10492.48 | 5319.35 |
| us-central1 | Iowa 🍃 | 5 | 1 | 24.3648 | 9.7057 | 17786.3 | 10526.95 | 5336.83 |
| us-east1 | South Carolina | 2 | 1 | 24.3648 | 9.7057 | 17786.3 | 10526.95 | 5336.83 |
| us-west1 | Oregon 🍃 | 2 | 1 | 24.3648 | 9.7057 | 17786.3 | 10526.95 | 5336.83 |
| asia-south1 | Mumbai | 2 | 1 | 25.3626 | 3.9078 | 18514.71 | 10958.06 | 5555.38 |
| europe-west4 | Netherlands 🍃 | 2 | 1 | 25.6086 | 3.7456 | 18694.29 | 11064.35 | 5609.27 |
| me-west1 | Tel Aviv | 2 | 1 | 26.8013 | 5.67 | 19564.93 | 11579.65 | 5870.51 |
| europe-north1 | Finland 🍃 | 2 | 1 | 26.8281 | 3.4848 | 19584.5 | 11591.22 | 5876.38 |
| europe-west1 | Belgium 🍃 | 2 | 1 | 26.8281 | 5.2038 | 19584.5 | 11591.22 | 5876.38 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 26.8281 | 3.9884 | 19584.5 | 11591.22 | 5876.38 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 26.8281 | 3.9884 | 19584.5 | 11591.22 | 5876.38 |
| us-west4 | Las Vegas | 2 | 1 | 27.4421 | 6.1172 | 20032.71 | 11856.5 | 6010.87 |
| europe-west2 | London 🍃 | 3 | 1 | 27.7414 | 4.5467 | 20251.24 | 11985.84 | 6076.43 |
| asia-east1 | Taiwan | 2 | 1 | 28.212 | 4.8168 | 20594.76 | 12189.16 | 6179.51 |
| europe-west8 | Milan | 2 | 1 | 28.2632 | 5.0832 | 20632.11 | 12211.26 | 6190.72 |
| europe-west9 | Paris 🍃 | 2 | 1 | 28.2632 | 5.9793 | 20632.11 | 12211.26 | 6190.72 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 28.7148 | 6.6411 | 20961.8 | 12406.39 | 6289.64 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 28.7505 | 3.7365 | 20987.84 | 12421.8 | 6297.45 |
| asia-south2 | Delhi | 2 | 1 | 29.2646 | 3.804 | 21363.13 | 12643.92 | 6410.06 |
| me-central1 | Doha | 2 | 1 | 29.6032 | 3.8468 | 21610.36 | 12790.24 | 6484.24 |
| asia-southeast1 | Singapore | 2 | 1 | 30.0589 | 2.9892 | 21942.96 | 12987.1 | 6584.04 |
| australia-southeast1 | Sydney | 2 | 1 | 30.4453 | 6.0482 | 22225.05 | 13154.05 | 6668.68 |
| asia-northeast1 | Tokyo | 3 | 1 | 31.2893 | 4.9358 | 22841.17 | 13518.71 | 6853.55 |
| asia-northeast2 | Osaka | 2 | 1 | 31.2893 | 6.6195 | 22841.17 | 13518.71 | 6853.55 |
| asia-northeast3 | Seoul | 3 | 1 | 31.2893 | 6.6195 | 22841.17 | 13518.71 | 6853.55 |
| europe-west12 | Turin | 2 | 1 | 31.4306 | 6.6494 | 22944.33 | 13579.77 | 6884.51 |
| australia-southeast2 | Melbourne | 2 | 1 | 31.6631 | 7.3169 | 23114.05 | 13680.21 | 6935.43 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 34.8417 | 5.3258 | 25434.41 | 15053.54 | 7631.66 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 38.6889 | 5.0261 | 28242.87 | 16715.74 | 8474.34 |
| me-central2 | Dammam | 3 | 1 | 38.9837 | 8.2473 | 28458.09 | 16843.12 | 8538.92 |