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Amazon Deep Learning AMIs vs. Google Cloud AI

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Deep Learning AMIs

    Score6 out of 10
    N/AAMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new…N/A

    Google Cloud AI

    Score8.6 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
    Pricing
    Amazon Deep Learning AMIsGoogle Cloud AI
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon Deep Learning AMIsGoogle Cloud AI
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    Amazon Deep Learning AMIsGoogle Cloud AI
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.6 out of 10
    TensorFlow
    Score7.6 out of 10
    Enterprises
    Google Cloud AI
    Score8.6 out of 10
    TensorFlow
    Score7.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon Deep Learning AMIsGoogle Cloud AI
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.0
    (7 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    8.0
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    7.3
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Amazon Deep Learning AMIsGoogle Cloud AI
    Likelihood to Recommend
    Amazon AWS
    Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.
    Incentivized
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    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.
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    Pros
    Amazon AWS
    • Setting up environment
    • Support for different types of machines
    • Perfect for Machine Learning / Deep Learning use cases
    • Nvidia / Cuda / Conda support easily
    Incentivized
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    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
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    Cons
    Amazon AWS
    • Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
    • It can be a bit confusing to switch between frameworks for novice users
    Incentivized
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    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
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    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    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
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    Usability
    Amazon AWS
    No answers on this topic
    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.
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    Support Rating
    Amazon AWS
    No answers on this topic
    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.
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    Implementation Rating
    Amazon AWS
    No answers on this topic
    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.
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    Alternatives Considered
    Amazon AWS
    Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.
    Incentivized
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    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
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    Return on Investment
    Amazon AWS
    • Saves a lot of Infra Costs
    • Saves a lot of time in handling environment issues
    • Easy to start a new instance
    Incentivized
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    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
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