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Bitfusion Ubuntu 14 MXNet

5 Day Free Trial Available - Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, MXNet, Python 2 & 3 support, Enum34, h5py, Matplotlib, NumPy, Pandas, PyCuda, PyDot, SciPy, SymPy, GpuStat, and Jupyter to leverage Nvidia GRID instances. Designed for developers as well as those eager to get started with the MXNet Deep Learning Framework. MXNet demos are pre-installed to show the utilization of GPUs and CPUs.


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    Latest Version

    2016.01


    Operating System

    Linux/Unix, Ubuntu 14.04


    Delivery Method

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



    AWS Services Required

    EC2, EBS


    Highlights

    • Verified installation of compatible OS, kernel, drivers, cuda toolkit, cuDNN 5.1, Python 2 & 3 support, Enum34, h5py, Matplotlib, NumPy, Pandas, PyCuda, PyDot, SciPy, SymPy, GpuStat, 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, MXNet, Python 2 & 3 support, Enum34, h5py, Matplotlib, NumPy, Pandas, PyCuda, PyDot, SciPy, SymPy, GpuStat, and Jupyter to leverage Nvidia GRID instances. Designed for developers as well as those eager to get started with the MXNet Deep Learning Framework. MXNet demos are pre-installed to show the utilization of GPUs and CPUs.

    Product Details

    • Version: 2016.01
    • Available on AWS Marketplace Since: 12/01/2016

    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 get started. 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/amis/tree/master/awsmrkt-bfboost-ubuntu14-cuda75-mxnet

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    Support Details

    Bitfusion Ubuntu 14 MXNet

    Please visit our support page above and subscribe to our Free Support. Please allow 24 hours for replies.

    http://www.bitfusion.io/support

    AWS Infrastructure

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    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

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    Free Trial
    Try one instance of this product for 5 days. There will be no hourly software... 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.
    Software Pricing
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    Total hourly price will vary by instance type and EC2 region. Click here for full EC2 pricing

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