Bitfusion Boost Ubuntu 14 Torch 7

5 Day Free Trial Available - Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7 Toolkit, cuDNN 5.1, Torch7, iTorch, and Jupyter to leverage Nvidia GRID instances as well as CPU instances. Designed for developers as well as those eager to get started with the Torch Scientific Computing Framework and deep learning. Various Torch demos are pre-installed to demonstrate the use of CPUs and GPUs. Develop interactive Torch scripts via python directly from your browser via the pre-installed Jupyter Notebook application an the iPython kernel for Torch. Get started with Torch quickly without worrying about installation... Read more


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    Latest Version

    2016.7 (Other available versions)


    Operating System

    Linux/Unix, Ubuntu 14.04


    Delivery Methods

      • Single AMI
      • 64-bit Amazon Machine Image (AMI) (Learn more)
      • Single box deployment of the product
      • Bitfusion Boost Memory Optimized Cluster
      • CloudFormation Template (View)
      • Launches a Bitfusion Boost Ubuntu 14 Torch Memory Optimized Cluster that combines a memory optimized instance with GPU instances into a single large virtual GPU instance.
      • Bitfusion Boost Storage Optimized Cluster
      • CloudFormation Template (View)
      • Launches a Bitfusion Boost Ubuntu 14 Torch Storage Optimized Cluster that combines a storage optimized instance with GPU instances into a single large virtual GPU instance.
      • Bitfusion Boost GPU Optimized Cluster
      • CloudFormation Template (View)
      • Launches a Bitfusion Boost Ubuntu 14 Torch GPU Optimized Cluster that combines multiple GPU instances into a single large virtual GPU instance.


    AWS Services Required

    Amazon CloudFormation, EC2


    Highlights

    • Verified installation of compatible OS, kernel, drivers, cuda toolkit, cudnn, Torch, iTorch, and Jupyter. All tools optimized for performance. Get started quickly and don't waste time installing and configuring drivers and tools.
    • Features Bitfusion Boost Technology to easily combine multiple instances into a single virtual instance for performance demanding applications.
    • Scalable across multiple instances for maximum performance with no application code changes.

    Product Description

    Ubuntu 14 AMI pre-installed with Nvidia Drivers, Cuda 7 Toolkit, cuDNN 5.1, Torch7, iTorch, and Jupyter to leverage Nvidia GRID instances as well as CPU instances. Designed for developers as well as those eager to get started with the Torch Scientific Computing Framework and deep learning. Various Torch demos are pre-installed to demonstrate the use of CPUs and GPUs. Develop interactive Torch scripts via python directly from your browser via the pre-installed Jupyter Notebook application an the iPython kernel for Torch. Get started with Torch quickly without worrying about installation and setup. AMI features Bitfusion Boost Technology for automatically combining multiple instances into a single virtual instance for performance demanding applications. Optimized pre-configured clusters can be deployed directly from the AWS marketplace.

    Product Details

    • Version: 2016.7
    • Available on AWS Marketplace Since: 01/27/2016

    Resources

    Usage Instructions

    To get started, simply launch an AWS instances using this AMI from the EC2 Console. 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.html Accessing the instance via SSH: ssh -i <path to your pem file> ubuntu@<Launched Instance Public DNS> Once you have logged in into the instance you are ready to get started. Detailed documentation is provided online: https://github.com/bitfusionio/amis/blob/master/awsmrkt-bfboost-ubuntu14-cuda75-torch/README.md ...

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    Support Details

    Bitfusion Boost Ubuntu 14 Torch 7

    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

    Use the dropdown selectors to see software pricing information for the chosen AWS region, and to see estimated infrastructure pricing for the chosen CloudFormation template.

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    Delivery Methods

    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
    The data below shows pricing per instance for services hosted in .
    Infrastructure Pricing
    Total hourly price will vary by instance type and EC2 region. Click here for full EC2 pricing

    Recent Product Reviews

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    Wonderful AMI for Machine Learning Experimentation with Torch

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    03/12/2016

    Great AMI

    This is awesome, saved me a lot of time and Torch is working nicely with GPU support. I looked up some...

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