If you like this webapp, please give it a star on GitHub! ⭐
Google Compute Engine Machine Type m3-ultramem-32
Memory-optimized Google Compute Engine machine type m3-ultramem-32 with 32 vCPU and 976 GB memory. GCE machine type m3-ultramem-32 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 32 Google Cloud regions.
✅ Instance Picker with filter on machine type m3-ultramem-32 Compare machine type m3-ultramem-32
Google Cloud VM m3-ultramem-32
Technical facts about the Google Compute Engine machine type m3-ultramem-32.
| Series | M3 |
|---|---|
| Family | Memory-optimized |
| vCPU | 32 |
| Memory | 976 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 (?) | 556066 |
| EEMBC CoreMark Standard Deviation | 0.22 % |
| EEMBC CoreMark Sample Count | 1020 |
| SAP Standard Benchmark (?) | 47835 |
| 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 | 32 vCPUs, 976 GB RAM |
Costs (Pricing) for m3-ultramem-32
Cost and pricing across all regions for Google Cloud VM m3-ultramem-32.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 6.0713 | 7.302 | 9.7459 |
| Spot provisioning model (Spot VM) | 0.6292 | 1.3844 | 2.4264 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 4432.02 | 5330.44 | 7114.52 |
| Spot provisioning model (Spot VM) | 459.34 | 1010.62 | 1771.3 |
| 1 year commitment (CUD) | 2623.12 | 3154.86 | 4210.78 |
| 3 year commitment (CUD) | 1329.84 | 1599.41 | 2134.73 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type m3-ultramem-32.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 1074.56 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 252.29 | 252.29 | 252.29 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 379.6 | 379.6 | 379.6 |
Price per Region
Costs and pricing for Google Compute Engine machine type m3-ultramem-32 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 | 3 | 1 | 6.0713 | 1.0249 | 4432.02 | 2623.12 | 1329.84 |
| us-central1 | Iowa 🍃 | 5 | 1 | 6.0912 | 2.4264 | 4446.58 | 2631.74 | 1334.21 |
| us-east1 | South Carolina | 2 | 1 | 6.0912 | 2.4264 | 4446.58 | 2631.74 | 1334.21 |
| us-west1 | Oregon 🍃 | 3 | 1 | 6.0912 | 2.4264 | 4446.58 | 2631.74 | 1334.21 |
| asia-south1 | Mumbai | 3 | 1 | 6.3407 | 0.6357 | 4628.68 | 2739.52 | 1388.85 |
| europe-west4 | Netherlands 🍃 | 2 | 1 | 6.4022 | 0.71 | 4673.57 | 2766.09 | 1402.32 |
| me-west1 | Tel Aviv | 2 | 1 | 6.7003 | 1.4175 | 4891.23 | 2894.91 | 1467.63 |
| europe-north1 | Finland 🍃 | 2 | 1 | 6.707 | 0.6292 | 4896.12 | 2897.81 | 1469.09 |
| europe-west1 | Belgium 🍃 | 2 | 1 | 6.707 | 1.301 | 4896.12 | 2897.81 | 1469.09 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 6.707 | 0.9971 | 4896.12 | 2897.81 | 1469.09 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 6.707 | 0.8475 | 4896.12 | 2897.81 | 1469.09 |
| us-west4 | Las Vegas | 2 | 1 | 6.8605 | 1.5293 | 5008.18 | 2964.13 | 1502.72 |
| europe-west2 | London 🍃 | 3 | 1 | 6.9354 | 1.1367 | 5062.81 | 2996.46 | 1519.11 |
| asia-east1 | Taiwan | 2 | 1 | 7.053 | 1.2042 | 5148.69 | 3047.29 | 1544.88 |
| europe-west8 | Milan | 2 | 1 | 7.0658 | 1.2708 | 5158.03 | 3052.82 | 1547.68 |
| europe-west9 | Paris 🍃 | 2 | 1 | 7.0658 | 1.4948 | 5158.03 | 3052.82 | 1547.68 |
| europe-west3 | Frankfurt 🍃 | 3 | 1 | 7.1787 | 1.6603 | 5240.45 | 3101.6 | 1572.41 |
| europe-southwest1 | Madrid 🍃 | 2 | 1 | 7.1876 | 0.8868 | 5246.96 | 3105.45 | 1574.36 |
| asia-south2 | Delhi | 2 | 1 | 7.3161 | 0.951 | 5340.78 | 3160.98 | 1602.52 |
| me-central1 | Doha | 2 | 1 | 7.4008 | 0.9617 | 5402.59 | 3197.56 | 1621.06 |
| asia-southeast1 | Singapore | 2 | 1 | 7.5147 | 0.6779 | 5485.74 | 3246.77 | 1646.01 |
| australia-southeast1 | Sydney | 2 | 1 | 7.6113 | 1.512 | 5556.26 | 3288.51 | 1667.17 |
| asia-northeast1 | Tokyo | 3 | 1 | 7.8223 | 1.234 | 5710.29 | 3379.68 | 1713.39 |
| asia-northeast2 | Osaka | 3 | 1 | 7.8223 | 1.6549 | 5710.29 | 3379.68 | 1713.39 |
| asia-northeast3 | Seoul | 3 | 1 | 7.8223 | 1.6549 | 5710.29 | 3379.68 | 1713.39 |
| europe-west12 | Turin | 2 | 1 | 7.8576 | 1.6623 | 5736.08 | 3394.94 | 1721.13 |
| australia-southeast2 | Melbourne | 2 | 1 | 7.9158 | 1.8292 | 5778.51 | 3420.05 | 1733.86 |
| africa-south1 | Johannesburg | 2 | 1 | 7.9673 | 1.6855 | 5816.12 | 3442.31 | 1745.14 |
| europe-west6 | Zurich 🍃 | 2 | 1 | 8.521 | 1.8027 | 6220.32 | 3681.54 | 1866.42 |
| southamerica-west1 | Santiago 🍃 | 2 | 1 | 8.7104 | 1.3315 | 6358.6 | 3763.38 | 1907.92 |
| southamerica-east1 | São Paulo 🍃 | 2 | 1 | 9.6722 | 1.2565 | 7060.72 | 4178.94 | 2118.59 |
| me-central2 | Dammam | 3 | 1 | 9.7459 | 2.0618 | 7114.52 | 4210.78 | 2134.73 |