CLOUD-DIGITAL-LEADER · Question #73
A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that…
The correct answer is D. Attach GPUs to the virtual machine for number crunching. Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing. https://cloud.google.com/compute/docs/gpus
Question
A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?
Options
- AUse a serverless option like Cloud Functions that will automatically scale as much as required.
- BInstead of using a "general purpose" machine family, use "compute-optimized" machine family.
- CSince processing could also be dependent on reading and writing data to the disk, use a fast
- DAttach GPUs to the virtual machine for number crunching.
How the community answered
(40 responses)- A5% (2)
- B13% (5)
- C3% (1)
- D80% (32)
Explanation
Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing. https://cloud.google.com/compute/docs/gpus
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