Google Compute Engine Machine Type a2-megagpu-16g
Accelerator-optimized Google Compute Engine machine type a2-megagpu-16g with 96 vCPU and 1360 GB memory. Available in 4 Google Cloud regions.
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Google Cloud VM a2-megagpu-16g
Technical facts about the Google Compute Engine machine type a2-megagpu-16g.
Series | A2 |
---|---|
Family | Accelerator-optimized |
vCPU | 96 |
Memory | 1360 GB |
CPU Manufactur | Intel |
CPU Platform |
|
CPU Base Frequency | 2.2 GHz |
CPU Turbo Frequency | 2.9 GHz |
CPU Max. Turbo Frequency | 3.7 GHz |
Accelerator (GPUs) | 16 |
Accelerator Type | nvidia-tesla-a100 |
EEMBC CoreMark Benchmark (?) | - |
EEMBC CoreMark Standard Deviation | - |
EEMBC CoreMark Sample Count | - |
SAP Standard Benchmark (?) | - |
Network Bandwidth | 100 Gbps |
Network Tier 1 | - |
Max. Disk Size | 257 TB |
Max. Number of Disks | 128 |
Local SSD | ✔️ |
SAP Application | ❌ |
SAP HANA | ❌ |
Spot Provisioning Mode (Spot VM) | ✔️ |
Sustained Use Discount (SUD) | ❌ |
GCE API Description | Accelerator Optimized: 16 NVIDIA Tesla A100 GPUs, 96 vCPUs, 1360GB RAM |
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Costs (Pricing) for a2-megagpu-16g
Average cost and pricing across all regions for Google Cloud VM a2-megagpu-16g.
Avg. costs per hour | 57.1454 |
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Avg. costs per month | 41716.18 |
Avg. costs per month with 1 year commitment (CUD) | 26217.78 |
Avg. costs per month with 3 year commitment (CUD) | 14617.04 |
Costs and pricing for Google Compute Engine machine type a2-megagpu-16g in Google Cloud regions in which the VM is available.
Region | Location | #Zones | #Platf. | Hour ⬇️ | Month | 1Y CUD | 3Y CUD |
---|---|---|---|---|---|---|---|
us-central1 | Iowa | 4 | 1 | 55.7395 | 40689.84 | 25634.3 | 14241.72 |
us-east1 | South Carolina | 1 | 1 | 55.7395 | 40689.84 | 25634.3 | 14241.72 |
europe-west4 | Netherlands | 2 | 1 | 56.6266 | 41337.39 | 26042.24 | 14468.4 |
asia-southeast1 | Singapore | 1 | 1 | 60.4762 | 44147.64 | 27560.31 | 15516.35 |
Operating System Licenses Costs for a2-megagpu-16g
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type a2-megagpu-16g.
SUSE Linux Enterprise Server | 80.3 |
---|---|
Red Hat Enterprise Linux | 94.9 |
Microsoft Windows Server | 3223.68 |
SUSE Linux Enterprise Server for SAP | 299.3 |
SUSE Linux Enterprise Server for SAP w. 1 year CUD | 119.94 |
SUSE Linux Enterprise Server for SAP w. 3 year CUD | 107.75 |
Red Hat Enterprise Linux for SAP | 164.25 |
Machine Types with 96 vCPU
Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
---|---|---|---|---|---|---|---|---|---|
a2-highgpu-8g | 96 | -680.00 | 680 | Intel | -26.33 | 30.8154 | -19220.92 | 22495.26 | Compare |
a2-megagpu-16g | 96 | 1360 | Intel | 57.1454 | 41716.18 | ||||
m1-megamem-96 | 96 | +73.60 | 1433.6 | Intel SAP HANA | -44.95 | 12.1933 | -35485.39 | 6230.79 SUD | Compare |
n1-highcpu-96 | 96 | -1273.60 | 86.4 | Intel | -52.99 | 4.1585 | -39591.17 | 2125.01 SUD | Compare |
n1-highmem-96 | 96 | -736.00 | 624 | Intel SAP HANA | -50.20 | 6.9423 | -38168.68 | 3547.5 SUD | Compare |
n1-standard-96 | 96 | -1000.00 | 360 | Intel SAP | -51.57 | 5.5753 | -38867.23 | 2848.95 SUD | Compare |
n2-highcpu-96 | 96 | -1264.00 | 96 | Intel | -53.22 | 3.9258 | -39422.94 | 2293.24 SUD | Compare |
n2-highmem-96 | 96 | -592.00 | 768 | Intel SAP HANA | -49.88 | 7.2605 | -37475.01 | 4241.17 SUD | Compare |
n2-standard-96 | 96 | -976.00 | 384 | Intel SAP | -51.83 | 5.3171 | -38610.23 | 3105.95 SUD | Compare |
n2d-highcpu-96 | 96 | -1264.00 | 96 | AMD | -53.66 | 3.488 | -39678.71 | 2037.47 SUD | Compare |
n2d-highmem-96 | 96 | -592.00 | 768 | AMD SAP | -50.77 | 6.3729 | -37993.47 | 3722.71 SUD | Compare |
n2d-standard-96 | 96 | -976.00 | 384 | AMD SAP | -52.42 | 4.7244 | -38956.46 | 2759.72 SUD | Compare |