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    TensorFlow CPU MKL Notebook

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    Sold by: Jetware 
    TensorFlow, Keras, Python, and Jupyter Notebook
    Listing Thumbnail

    TensorFlow CPU MKL Notebook

     Info
    Sold by: Jetware 

    Overview

    A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU. The stack also includes Development preset, program development and building tools, including C compiler, make etc.

    Highlights

    • High-performance execution environment optimized for training or inference
    • Carefully integrated and tested software packages with new features and bug fixes
    • Stable and production ready, with long-term support and updates

    Details

    Sold by

    Delivery method

    Delivery option
    TensorFlow 1.8, Python 2.7
    TensorFlow 1.8, Python 3.6
    TensorFlow 1.10, Python 3.6

    Latest version

    Operating system
    Linux

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    TensorFlow CPU MKL Notebook

     Info
    This product is free. Subscriptions have no end date and can be canceled anytime.

    Vendor refund policy

    This product is available free of charge.

    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

    TensorFlow 1.8, Python 2.7

    Supported services: Learn more 
    • Amazon ECS
    • Amazon EKS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    First AWS Marketplace release

    Additional details

    Usage instructions

    1. Please ensure that you have pulled the container image from the ECR using the container image details

    2. Launch the Docker images:

      docker run -p 8888:8888 <AWS MP Container image URL>

    3: Access to the product via web browser using Public DNS URL at the port 8888

    Support

    Vendor support

    We will be pleased to answer short and quick questions with the tag #jetware on Twitter. More complicated questions are welcome with the tag #jetware on Stack Overflow. Open Source Support http://jetware.io/page/services/support?us=awsmp  to get web, email or phone support covering Jetware products and open source software included. Managed Services http://jetware.io/page/services/managed?us=awsmp  to get 24x7 application and infrastructure management.

    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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