G2

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

11/12/2021

"Google Cloud GPU Utility"

4/5

What do you like best about Google Cloud GPUs?

Google Cloud GPU allows developers to build and train complex machine learning algorithms with ease. It's cheap as compared to other alternatives such as AWS. It provides multiple variations for using GPU depending on the underlying application type. One can efficiently train deep learning AI models at speed utilizing this resource. It's also very flexible and provides good storage capability and a smooth user interface. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud GPUs?

Pricing for the Google Cloud GPU can get tricky if proper planning is not done well in advance. It requires developers to be trained before using the GPU service. Querying large data tables can take a lot of time. It's not a viable option for tech startups due to afforadability reasons. Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud GPUs:

Go through the documentation and understand the pricing before adding the GPU service to your VM instance. Ensure you plan and scope correctly before starting to work with GPUs. Utilize the free 300$ credit on Google Cloud Platform for training models with GPU. Review collected by and hosted on G2.com.

What problems is Google Cloud GPUs solving and how is that benefiting you?

We are utilizing GPU service for training deep learning-based neural network models for estimating product value. The time taken for training AI models is significantly low with GPU. It helped the team to quickly train models and test their performance within the specified timelines. We used GPU service across multiple projects for development of ML and AI models at scale. Review collected by and hosted on G2.com.