Bitfusion Ubuntu 14 TensorFlow

10 Day Free Trial Available - Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, TensorFlow 1.1.0, TFLearn, TensorFlow Serving, TensorFlow TensorBoard, Keras, Magenta, scikit-learn, Python 2 & 3 support, Hyperas, PyCuda, Pandas, NumPy, SciPy, Matplotlib, h5py, Enum34, SymPy, OpenCV and Jupyter to leverage Nvidia GPU as well as CPU instances. Designed for developers as well as those eager to get started with the TensorFlow Deep Learning Framework. Develop interactive TensorFlow scripts via python directly from your browser via the pre-installed Jupyter Notebook application. Get started... Read more


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    (6 Customer Reviews)
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    Latest Version

    2017.04 (Other available versions)


    Operating System

    Linux/Unix, Ubuntu 14.04


    Delivery Method

    64-bit Amazon Machine Image (AMI) (Read more)



    AWS Services Required

    EC2


    Highlights

    • Verified installation of compatible OS, kernel, drivers, cuda toolkit, cuDNN 5.1, TensorFlow, TFLearn, TensorFlow Serving, TensorFlow TensorBoard, Keras, scikit-learn, OpenCV, Python 2 & 3 with various supporting modules, and Jupyter.
    • Optimized for performance on CPU an GPU instances.
    • Get started quickly and don't waste time installing and configuring drivers and tools.

    Product Description

    Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, TensorFlow 1.1.0, TFLearn, TensorFlow Serving, TensorFlow TensorBoard, Keras, Magenta, scikit-learn, Python 2 & 3 support, Hyperas, PyCuda, Pandas, NumPy, SciPy, Matplotlib, h5py, Enum34, SymPy, OpenCV and Jupyter to leverage Nvidia GPU as well as CPU instances. Designed for developers as well as those eager to get started with the TensorFlow Deep Learning Framework.

    Develop interactive TensorFlow scripts via python directly from your browser via the pre-installed Jupyter Notebook application. Get started with TensorFlow without worrying about installation and setup. Udacity assignments for Deep Learning class with TensorFlow are pre-installed as well.

    Product Details

    • Version: 2017.04
    • Available on AWS Marketplace Since: 04/29/2016

    Resources

    Usage Instructions

    To get started, launch an AWS instances using this AMI from the EC2 Console or the AWS Marketplace. If you are not familiar with this process please review the AWS documentation provided here:http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/launching-instance.htmlAccessing the instance via SSH: ssh -i <path to your pem file> ubuntu@<EC2 Instance Public IP>Once you have logged in into the instance you are instantly ready to launch TensorFlow. For additional instructions please consult the README in the user home directory: /home/ubuntu/READMEAccessing the Jupyter Notebook: http://<EC2 Instance Public IP>:8888The initial notebook password is the instance id, please review the README for instructions on changing the password. Detailed documentation is also provided online: https://github.com/bitfusionio/awsmrkt-amis/tree/master/awsmrkt-bfboost-ubuntu14-cuda75-tensorflow

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    Support Details

    Bitfusion Ubuntu 14 TensorFlow

    Please visit our support page and allow 24 hours for replies.

    http://www.bitfusion.io/support

    AWS Infrastructure

    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. Learn more

    Refund Policy

    After the trial period, due to the utility price model for this service, refunds are not available. You will be billed only for the actual time that each instance is used, rounded up to the nearest hour of service.

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA).

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    You will have an opportunity to review your order before launching or being charged.

    Pricing Information

    Use the Region dropdown selector to see software and infrastructure pricing information for the chosen AWS region.

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    Free Trial
    Try one instance of this product for 10 days. There will be no hourly softwar... Read More
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    Pricing Details

    Software pricing is based on your chosen options, such as subscription term and AWS region. Infrastructure prices are estimates only. Final prices will be calculated according to actual usage and reflected on your monthly report.
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    Infrastructure Pricing
    Total hourly price will vary by instance type and EC2 region. Click here for full EC2 pricing

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