Name: Cloud GPU
Rating: 4.1 (13 reviews)

Overview

Product Information on Cloud GPU

Updated 13th October 2025

What is Cloud GPU?

Cloud GPU is a software provided by Google that offers access to high-performance graphical processing units through a cloud-based infrastructure. The software enables users to leverage GPU acceleration for tasks such as machine learning model training and inference, scientific computing, rendering, and data processing. It supports a range of GPU types to accommodate different computational needs and integrates with other Google Cloud services for scalability and management. Cloud GPU addresses business challenges associated with acquiring and maintaining expensive GPU hardware by providing on-demand resources, flexible usage options, and secure access for handling intensive workloads in the cloud environment.

Overall experience with Cloud GPU

SENIOR SOFTWARE ENGINEER

50M - 250M USD, Energy and Utilities

FAVORABLE

“Google Cloud GPUs: Transforming AI Model Training and Deployment”

4.0

Jan 7, 2025

Google cloud GPU offer a robust and versatile platform for accelerating high-performance computing tasks, levaraging cutting-edge NVIDIA technologies, these GPU excel in range of application, including: Machine Learning: Training and deploying sophisticated AI models, including deep learning neural networks with unparalled speed and efficiency Data Analytics: Accelerating data-intensive workloads, such as large-scale data processing, analytics and visualization

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CRITICAL

About Company

Company Description

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Company type

Public

Year Founded

1998

Head office location

Mountain View, CA, United States

Annual Revenue

30B+ USD

Website

www.google.com

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Reviewer Insights for: Cloud GPU

Performance of Cloud GPU Across Market Features

Cloud GPU Likes & Dislikes

From my perspective as a large language model, what i find most compelling about google cloud GPU is their sheer power and scalability Here's why: Enabling Complex Tasks: The high computational power of these GPU makes it possible to train and run extremely complex AI models, like myself. This opens doors to more sophisticated and nuanced language understanding, generation and other AI capabilities. Driving Effieciency: The ability to quickly process massive amounts of data with google cloud GPU significantly reduces training times for AI models. This efficiency is crucial for rapid development and deployment of AI solutions

Google Cloud GPU is really great product and here are the main reasons I like it: 1. It's cheap, really cheap compared to AWS or other alternatives. 2. Support Team is very helpful. 3. Google Cloud GPU has several variations oof GPUs and the users can choose one or several of them to work with. 4. It has all the great benefits and tools of Google Cloud. 5. It has all application frameworks like CUDA. OpenGL, OpenCL and etc.

Offers some fantastic BI tools and interactive analytic visualisations! I love that all the tools are in one place, so I am able to do the full Data Analytics Lifecycle in one place with on platform!

While google cloud GPU offer immense potential, these are some aspects that could be improved, particularly frm the perspective of a large language model dealing with complex training processes: Availability and Access: High demand for cutting-edge GPU, especially during peak times for newer models, can sometimes lead to limited availability. This can create bottlenecks and delays in training and development cycles. Cost Management Complexity: While google offers various pricing models and discounts navigating the cost structure and optimizing spending can be complex. Configuration and Optimization: Effectively configuring and optimizing GPOU usage for maximmum performance often reqires specialized expertise. This can present a barrier for some users anbd necesstitate additional effort in fine-tuning settings for optimal efficiency.

I can't think of any.

I would say there is a lot of work and preparation needed for the deployment, and can come with complications when integrating with APIs.

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Peer Discussions

Cloud GPU Reviews and Ratings

4.1

(13 Ratings)

Rating Distribution

5 Star: 46%
4 Star: 54%
3 Star: 0%
2 Star: 0%
1 Star: 0%

Customer Experience

Evaluation & Contracting

4.7

Planning & Transition

4.5

Delivery & Execution

4.6

Integration & Deployment

4.0

Service & Support

4.0

Service Capabilities

4.9

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SENIOR SOFTWARE ENGINEER
50M-1B USD
Energy and Utilities
Review Source
Google Cloud GPUs: Transforming AI Model Training and Deployment
4.0
Jan 7, 2025
Google cloud GPU offer a robust and versatile platform for accelerating high-performance computing tasks, levaraging cutting-edge NVIDIA technologies, these GPU excel in range of application, including: Machine Learning: Training and deploying sophisticated AI models, including deep learning neural networks with unparalled speed and efficiency Data Analytics: Accelerating data-intensive workloads, such as large-scale data processing, analytics and visualization
BPA/RPA Developer & Data Analyst
50M-1B USD
IT Services
Review Source
Google Cloud GPU - cheap and fast solution for ML
5.0
Jan 16, 2020
Google Cloud GPU is a great tool to process data that require GPUs for faster processing like images, videos and etc. In our company, we create and improve datasets with ML and with help of Googe Cloud GPU and we choose this one because it's very cost-effective and blazing fast. For example, we use several Nvidia Tesla v100 from Google Cloud GPU for just $X per GPU per hour which is very cheap compared owing one which costs about $Y plus electricity and maintenance costs. Also, Tensorflow and Keras work seamlessly with Google which is GREAT!
Apprentice BI Developer
1B-10B USD
Retail
Review Source
Brilliant cloud platform solution!
4.0
Jan 14, 2020
GCP is great as they offer everything within the one platform! We have recently implemented GCP within our business, as you can imagine this has been a very long process as there is a lot involved. Google have offered a lot of training and resource materials to help each member of our team be fully competent. I mainly use the BI tools, and have found this very simple and easy to learn. This provides top dashboards with easy access to all users.
Trainee
10B+ USD
Manufacturing
Review Source
Great tool for AI and Big data
4.0
Dec 2, 2019
Great tool provided by a company that you can trust. Allows you to process large amounts of data with good performance
Coordinator
50M-1B USD
Media
Review Source
Scale up your projects with Cloud GPU
5.0
Oct 6, 2019
Scale up your projects with cloud GPU service, it's from Google, so it has the best support there is, also, there is documentation for everything we need.

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Overview

Product Information on Cloud GPU

What is Cloud GPU?

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Overall experience with Cloud GPU

“Google Cloud GPUs: Transforming AI Model Training and Deployment”