If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type m1-ultramem-80
Memory-optimized Google Compute Engine machine type m1-ultramem-80 with 80 vCPU and 1922 GB memory. GCE machine type m1-ultramem-80 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 30 Google Cloud regions.
✅ Instance Picker with filter on machine type m1-ultramem-80 Compare machine type m1-ultramem-80
Google Cloud VM m1-ultramem-80
Technical facts about the Google Compute Engine machine type m1-ultramem-80.
| Series | M1 |
|---|---|
| Family | Memory-optimized |
| vCPU | 80 |
| Memory | 1922 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 (?) | 1010128 |
| EEMBC CoreMark Standard Deviation | 0.41 % |
| EEMBC CoreMark Sample Count | 2280 |
| SAP Standard Benchmark (?) | 68950 |
| 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 | 80 vCPUs, 1922 GB RAM |
Costs (Pricing) for m1-ultramem-80
Cost and pricing across all regions for Google Cloud VM m1-ultramem-80.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 12.5862 | 14.9993 | 19.0154 |
| Spot provisioning model (Spot VM) | 1.3222 | 2.4963 | 3.9504 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month with sustained use discount (SUD) | 6431.55 | 7664.65 | 9716.87 |
| Spot provisioning model (Spot VM) | 965.21 | 1822.33 | 2883.81 |
| 1 year commitment (CUD) | 5437.36 | 6558.51 | 8227.64 |
| 3 year commitment (CUD) | 2756.96 | 3583.69 | 7830.77 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m1-ultramem-80.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 2686.4 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 630.72 | 630.72 | 630.72 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 949 | 949 | 949 |
Price per Region
Costs and pricing for Google Compute Engine machine type m1-ultramem-80 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 | 12.5862 | 2.5156 | 6431.55 | 5437.36 | 2756.96 |
| us-east1 | South Carolina | 3 | 1 | 12.5862 | 2.5156 | 6431.55 | 5437.36 | 2756.96 |
| us-west1 | Oregon 🍃 | 2 | 1 | 12.5862 | 2.5156 | 6431.55 | 5437.36 | 2756.96 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 13.2322 | 2.1635 | 6761.66 | 5692.77 | 2898.99 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 13.233 | 1.5805 | 6762.05 | 5692.77 | 2898.99 |
| me-west1 | Tel Aviv | 2 | 1 | 13.8448 | 2.9284 | 7074.7 | 5981.1 | 3032.66 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 13.8448 | 1.8883 | 7074.7 | 5981.1 | 3032.66 |
| europe-west1 | Belgium 🍃 | 2 | 1 | 13.8779 | 2.2982 | 7091.59 | 5978 | 3042.19 |
| us-west4 | Las Vegas | 2 | 1 | 14.2078 | 1.3222 | 7260.16 | 6122.36 | 3114.66 |
| us-east4 | Northern Virginia | 3 | 1 | 14.2836 | 2.8567 | 7298.92 | 6122.36 | 3114.66 |
| asia-south1 | Mumbai | 3 | 1 | 14.4348 | 2.8801 | 7376.19 | 6214.13 | 3167.85 |
| us-west2 | Los Angeles | 2 | 1 | 14.4371 | 2.9464 | 7377.34 | 6524.83 | 3308.35 |
| europe-west8 | Milan | 2 | 1 | 14.6 | 1.7731 | 7460.6 | 6307.34 | 3198.08 |
| europe-west9 | Paris 🍃 | 2 | 1 | 14.6 | 3.0881 | 7460.6 | 6307.34 | 3198.08 |
| asia-east1 | Taiwan | 2 | 1 | 14.6095 | 2.1051 | 7465.45 | 6286.02 | 3204.09 |
| asia-southeast1 | Singapore | 3 | 1 | 14.8267 | 2.9624 | 7576.44 | 7576.44 | 7576.44 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 14.8517 | 2.2473 | 7589.23 | 6416.09 | 3253.21 |
| asia-south2 | Delhi | 2 | 1 | 15.1034 | 1.3598 | 7717.86 | 6524.83 | 3308.35 |
| asia-northeast1 | Tokyo | 2 | 1 | 15.3244 | 3.9504 | 7830.77 | 7830.77 | 7830.77 |
| asia-northeast2 | Osaka | 3 | 1 | 15.3873 | 2.606 | 7862.92 | 6632.6 | 3370.66 |
| asia-northeast3 | Seoul | 2 | 1 | 15.3873 | 3.0122 | 7862.92 | 6632.6 | 3370.66 |
| europe-central2 | Warsaw | 2 | 1 | 15.4709 | 2.2889 | 7905.63 | 6663.59 | 3386.44 |
| europe-west2 | London 🍃 | 3 | 1 | 15.4709 | 2.3955 | 7905.63 | 6663.59 | 3386.44 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 15.4709 | 2.1288 | 7905.63 | 6663.59 | 3386.44 |
| asia-southeast2 | Jakarta | 2 | 1 | 16.1611 | 2.5669 | 8258.32 | 6967.07 | 3534.5 |
| australia-southeast1 | Sydney | 3 | 1 | 17.0538 | 2.7084 | 8714.5 | 7348 | 3730.11 |
| europe-west6 | Zurich 🍃 | 2 | 1 | 17.6207 | 3.3563 | 9004.17 | 7589.8 | 3858.93 |
| australia-southeast2 | Melbourne | 2 | 1 | 17.8724 | 3.2143 | 9132.8 | 7721.05 | 3914.89 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 17.9983 | 2.3384 | 9197.11 | 7775.43 | 3942.46 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 19.0154 | 2.3774 | 9716.87 | 8227.64 | 4178.4 |