Google Compute Engine Machine Type c4-highmem-96
General-purpose Google Compute Engine machine type c4-highmem-96 with 96 vCPU and 744 GB memory. GCE machine type c4-highmem-96 is certified for SAP applications and SAP HANA on Google Cloud Platform. Available in 43 Google Cloud regions. Not all CPU platforms are available in all regions.
✅ Instance Picker with filter on machine type c4-highmem-96 Compare machine type c4-highmem-96
Google Cloud VM c4-highmem-96
Technical facts about the Google Compute Engine machine type c4-highmem-96.
| Series | C4 |
|---|---|
| Family | General-purpose |
| vCPU | 96 |
| Memory | 744 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.8 GHz |
| CPU Turbo Frequency | 3.9 GHz |
| CPU Max. Turbo Frequency | 4.2 GHz |
| EEMBC CoreMark Benchmark (?) | - |
| EEMBC CoreMark Standard Deviation | - |
| EEMBC CoreMark Sample Count | - |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 67 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 | 96 vCPUs, 744 GB RAM |
Costs (Pricing) for c4-highmem-96
Cost and pricing across all regions for Google Cloud VM c4-highmem-96.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 6.2563 | 7.3936 | 10.01 |
| Spot provisioning model (Spot VM) | 0.9177 | 2.6935 | 4.648 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 4567.08 | 5397.29 | 7307.33 |
| Spot provisioning model (Spot VM) | 669.93 | 1966.28 | 3393.03 |
| 1 year commitment (CUD) | 2877.33 | 3400.37 | 4603.72 |
| 3 year commitment (CUD) | 2055.17 | 2428.76 | 3288.27 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type c4-highmem-96.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 3223.68 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 756.86 | 756.86 | 756.86 |
| SUSE Linux Enterprise Server for SAP | 299.3 | 119.94 | 107.75 |
| Red Hat Enterprise Linux for SAP | 1138.8 | 1138.8 | 1138.8 |
Price per Region
Costs and pricing for Google Compute Engine machine type c4-highmem-96 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 37%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 2 | 6.2563 | 3.7446 | 4567.08 | 2877.33 | 2055.17 |
| us-east1 | South Carolina | 3 | 2 | 6.2563 | 3.7446 | 4567.08 | 2877.33 | 2055.17 |
| us-east4 | Northern Virginia | 3 | 2 | 6.2563 | 3.7352 | 4567.08 | 2877.33 | 2055.17 |
| us-east5 | Columbus | 3 | 2 | 6.2563 | 3.5587 | 4567.08 | 2877.33 | 2055.17 |
| us-west1 | Oregon 🍃 | 3 | 2 | 6.2563 | 3.7446 | 4567.08 | 2877.33 | 2055.17 |
| asia-south1 | Mumbai | 3 | 2 | 6.5065 | 2.1473 | 4749.76 | 2992.42 | 2137.37 |
| asia-south2 | Delhi | 3 | 2 | 6.5067 | 2.7051 | 4749.91 | 2992.51 | 2137.44 |
| asia-southeast3 | Bangkok | 3 | 2 | 6.5689 | 1.8001 | 4795.31 | 3021.06 | 2158.17 |
| europe-north2 | Stockholm 🍃 | 3 | 2 | 6.5691 | 2.2336 | 4795.43 | 3021.19 | 2157.92 |
| europe-west4 | Netherlands 🍃 | 3 | 2 | 6.5691 | 2.8674 | 4795.43 | 3021.19 | 2157.92 |
| northamerica-south1 | Mexico | 3 | 2 | 6.8193 | 2.2209 | 4978.12 | 3136.29 | 2240.13 |
| me-west1 | Tel Aviv | 2 | 2 | 6.8819 | 1.0403 | 5023.79 | 3165.06 | 2260.68 |
| africa-south1 | Johannesburg | 3 | 2 | 6.8888 | 2.2048 | 5028.81 | 3168.22 | 2262.94 |
| europe-north1 | Finland 🍃 | 3 | 2 | 6.8888 | 1.8339 | 5028.81 | 3168.22 | 2262.94 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 6.8888 | 2.4804 | 5028.81 | 3168.22 | 2262.94 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 2 | 6.8888 | 0.9177 | 5028.81 | 3168.22 | 2262.94 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 2 | 6.8888 | 2.5479 | 5028.81 | 3168.22 | 2262.94 |
| us-west4 | Las Vegas | 3 | 2 | 7.0464 | 2.3959 | 5143.9 | 3240.73 | 2314.73 |
| europe-west2 | London 🍃 | 3 | 2 | 7.1322 | 3.1488 | 5206.47 | 3280.15 | 2342.89 |
| asia-east1 | Taiwan | 3 | 2 | 7.2441 | 4.1021 | 5288.22 | 3331.66 | 2379.68 |
| europe-west8 | Milan | 2 | 2 | 7.2573 | 2.1042 | 5297.81 | 3337.7 | 2383.99 |
| europe-west9 | Paris 🍃 | 3 | 2 | 7.2573 | 1.0707 | 5297.81 | 3337.7 | 2383.99 |
| europe-west10 | Berlin | 1 | 1 | 7.3821 | 3.4776 | 5388.9 | 3395.1 | 2424.99 |
| europe-southwest1 | Madrid 🍃 | 3 | 2 | 7.3824 | 2.3781 | 5389.15 | 3395.25 | 2425.1 |
| europe-west3 | Frankfurt | 3 | 2 | 7.3824 | 3.3474 | 5389.15 | 3395.25 | 2425.1 |
| us-south1 | Dallas 🍃 | 2 | 2 | 7.3824 | 2.0864 | 5389.15 | 3395.25 | 2425.1 |
| us-west2 | Los Angeles | 3 | 2 | 7.5207 | 1.8771 | 5490.09 | 3458.83 | 2470.52 |
| us-west3 | Salt Lake City | 3 | 2 | 7.5207 | 2.351 | 5490.09 | 3458.83 | 2470.52 |
| europe-central2 | Warsaw | 2 | 2 | 7.5697 | 1.8169 | 5525.88 | 3481.38 | 2486.62 |
| me-central1 | Doha | 2 | 2 | 7.6014 | 2.0528 | 5549 | 3495.95 | 2497.03 |
| asia-southeast1 | Singapore | 3 | 2 | 7.7184 | 3.7242 | 5634.41 | 3549.76 | 2535.46 |
| australia-southeast1 | Sydney | 2 | 2 | 7.8203 | 2.5024 | 5708.85 | 3596.66 | 2568.96 |
| asia-northeast1 | Tokyo | 3 | 2 | 8.0343 | 4.5788 | 5865.04 | 3695.06 | 2639.24 |
| asia-northeast2 | Osaka | 3 | 1 | 8.0343 | 3.8663 | 5865.04 | 3695.06 | 2639.24 |
| asia-northeast3 | Seoul | 3 | 2 | 8.0343 | 3.4456 | 5865.04 | 3695.06 | 2639.24 |
| europe-west12 | Turin | 1 | 1 | 8.0706 | 1.5152 | 5891.53 | 3711.75 | 2651.16 |
| australia-southeast2 | Melbourne | 3 | 2 | 8.1332 | 3.2427 | 5937.2 | 3740.53 | 2671.72 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 8.1962 | 4.648 | 5983.19 | 3769.29 | 2692.12 |
| asia-southeast2 | Jakarta | 3 | 2 | 8.4128 | 1.746 | 6141.35 | 3869.14 | 2763.58 |
| asia-east2 | Hong Kong | 2 | 2 | 8.7519 | 3.868 | 6388.89 | 4025.09 | 2874.97 |
| southamerica-west1 | Santiago 🍃 | 3 | 2 | 8.9465 | 2.952 | 6530.92 | 4114.58 | 2938.89 |
| southamerica-east1 | São Paulo 🍃 | 2 | 2 | 9.9343 | 3.0263 | 7252.06 | 4568.91 | 3263.4 |
| me-central2 | Dammam | 2 | 2 | 10.01 | 0.9703 | 7307.33 | 4603.72 | 3288.27 |