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    Tensorflow on Ubuntu 22.04 with maintenance support by Apps4Rent

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour and USD 870/yr.
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    Tensorflow on Ubuntu 22.04 with maintenance support by Apps4Rent

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    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.

    Accelerate your journey into the world of artificial intelligence and deep learning with TensorFlow on Ubuntu 22.04 LTS. TensorFlow, the renowned open-source deep learning framework developed by Google, combined with the stability and security of Ubuntu 22.04 LTS, empowers you to build, train, and deploy cutting-edge AI models with ease.

    Image may take up to 5-7 minutes for initial launch.

    Highlights

    • TensorFlow, recognized as a leading deep learning framework, offers an extensive array of tools and libraries for creating and training sophisticated AI models. From computer vision to natural language processing, TensorFlow on Ubuntu 22.04 LTS provides the foundation for tackling complex machine learning challenges.
    • Explore TensorFlow's vibrant ecosystem, comprising a wide range of pre-trained models, datasets, and APIs. Leverage the power of transfer learning, access rich datasets for training, and tap into high-level APIs for simplified model development and deployment.
    • Ubuntu 22.04 LTS provides a stable and secure operating environment, ensuring the reliability and integrity of your TensorFlow deployment. Benefit from long-term support, regular security updates, and a thriving community that backs the Ubuntu ecosystem.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t3.medium) in the US East (N. Virginia) Region. View pricing details

    $0.142/hour

    Pricing

    Tensorflow on Ubuntu 22.04 with maintenance support by Apps4Rent

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (71)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t1.micro
    $0.10
    $0.02
    $0.12
    t2.small
    $0.10
    $0.023
    $0.123
    t2.medium
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t3.nano
    $0.10
    $0.005
    $0.105
    t3.micro
    AWS Free Tier
    $0.10
    $0.01
    $0.11
    t3.small
    $0.10
    $0.021
    $0.121
    t3.medium
    Recommended
    $0.10
    $0.042
    $0.142
    t3.large
    $0.10
    $0.083
    $0.183
    t3a.micro
    $0.10
    $0.009
    $0.109

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    *For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  Sign-in credentials: Username: ubuntu

    Ensure that you have an active SSH connection to your instance.

    Dependencies Version check: python3 (It will show 3.10.6)

    Activate the virtual environment you created for Tensorflow by running the following command: source tensorflow-env/bin/activate

    Verify Tensorflow Version: python -c "import tensorflow as tf; print(tf.version)" (It will show 2.12.0)

    Below are the minimum external resources subscriber needs to have to use this product: An Internet Connection is required in order for this product to function as expected.

    We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.-

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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