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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud AI

    Score8.7 out of 10
    N/AGoogle Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A

    Google Compute Engine

    Score8.8 out of 10
    N/AGoogle Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

    $0

    per month GB

    Pricing
    Google Cloud AIGoogle Compute Engine
    Editions & Modules
    No answers on this topic
    Preemptible Price - Predefined Memory
    0.000892 / GB
    Hour
    Three-year commitment price - Predefined Memory
    $0.001907 / GB
    Hour
    One-year commitment price - Predefined Memory
    $0.002669 / GB
    Hour
    On-demand price - Predefined Memory
    $0.004237 / GB
    Hour
    Preemptible Price - Predefined vCPUs
    0.006655 / vCPU
    Hour
    Three-year commitment price - Predefined vCPUS
    $0.014225 / CPU
    Hour
    One-year commitment price - Predefined vCPUS
    $0.019915 / vCPU
    Hour
    On-demand price - Predefined vCPUS
    $0.031611 / vCPU
    Hour
    Offerings
    Pricing Offerings
    Google Cloud AIGoogle Compute Engine
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
    More Pricing Information
    Community Pulse
    Google Cloud AIGoogle Compute Engine
    Considered Both Products
    Google
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    98%
    Would buy again
    45 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    44 Answers
    Happy with the feature set
    No answers on this topic
    96%
    Happy with the feature set
    44 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    91%
    Lived up to sales and marketing promises
    31 Answers
    Implementation went as expected
    No answers on this topic
    93%
    Implementation went as expected
    41 Answers
    Features
    Google Cloud AIGoogle Compute Engine
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Cloud AI and Google Compute Engine
    Feature
    Google Cloud AI
    -
    Ratings
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    Service-level Agreement (SLA) uptime00 Ratings8.125 Ratings
    Dynamic scaling00 Ratings7.860 Ratings
    Elastic load balancing00 Ratings9.353 Ratings
    Pre-configured templates00 Ratings9.562 Ratings
    Monitoring tools00 Ratings3.026 Ratings
    Pre-defined machine images00 Ratings9.464 Ratings
    Operating system support00 Ratings8.365 Ratings
    Security controls00 Ratings9.163 Ratings
    Automation00 Ratings7.92 Ratings
    Best Alternatives
    Google Cloud AIGoogle Compute Engine
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    TensorFlow
    Score7.6 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    TensorFlow
    Score7.6 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud AIGoogle Compute Engine
    Likelihood to Recommend
    8.0
    (7 ratings)
    8.9
    (65 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    6.9
    (3 ratings)
    Usability
    8.0
    (2 ratings)
    8.0
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.6
    (28 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (28 ratings)
    Support Rating
    7.3
    (3 ratings)
    10.0
    (10 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    7.3
    (1 ratings)
    User Testimonials
    Google Cloud AIGoogle Compute Engine
    Likelihood to Recommend
    Google
    Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
    Incentivized
    Read full review
    Google
    You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
    Incentivized
    Read full review
    Pros
    Google
    • good conversion from the voice to the text
    • speed in the conversion from voice to text
    • time-saving in the conversion activity
    • analysis of the results of the conversion in real time
    Incentivized
    Read full review
    Google
    • Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
    • Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
    • Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
    Incentivized
    Read full review
    Cons
    Google
    • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
    • Customization of existing modules and libraries is harder and it does need time and experience to learn.
    • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
    Incentivized
    Read full review
    Google
    • Built-in monitoring via Stackdriver is quite expensive for what it provides.
    • Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
    • Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
    Incentivized
    Read full review
    Google
    Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
    Incentivized
    Read full review
    Usability
    Google
    I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
    Read full review
    Google
    Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    No answers on this topic
    Google
    Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
    Incentivized
    Read full review
    Performance
    Google
    No answers on this topic
    Google
    It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
    Incentivized
    Read full review
    Support Rating
    Google
    Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
    Incentivized
    Read full review
    Google
    • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
    • Google support was great and their presence on site was very helpful in dealing with various issues.
    Incentivized
    Read full review
    Implementation Rating
    Google
    In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Alternatives Considered
    Google
    These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
    Incentivized
    Read full review
    Google
    Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
    Incentivized
    Read full review
    Scalability
    Google
    No answers on this topic
    Google
    It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
    Incentivized
    Read full review
    Return on Investment
    Google
    • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
    • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
    • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
    Incentivized
    Read full review
    Google
    • With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
    • As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.
    Incentivized
    Read full review
    ScreenShots

    Google Compute Engine Screenshots

    Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.