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    Deep Learning on Ubuntu20.04 Support by Hanwei

     Info
    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support.

    Overview

    Include Deep Learning environment and provide jupyter notebook on web. Automatically starts a jupyter notebook server on https port 8888. The password is your instance id. Python version 3.8 Tensorflow version 2.11 Pytorch version 1.13 Keras version 2.11 Scikit Learn, Matplotlib, Numpy,Pillow included as dependencies Nvidia CUDA version 11.7 + CUDNN version 8.7 + Tensorrt8.5

    Highlights

    • Automatic support of gpu instance(if your instance is GPU instance)
    • The latest deep learning environment

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 20.04

    Deployed on AWS

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    Pricing

    Deep Learning on Ubuntu20.04 Support by Hanwei

     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 (49)

     Info
    Dimension
    Cost/hour
    g4dn.xlarge
    Recommended
    $0.25
    t2.micro
    AWS Free Tier
    $0.00
    t3.micro
    AWS Free Tier
    $0.00
    g4ad.16xlarge
    $0.12
    t3.2xlarge
    $0.18
    p3dn.24xlarge
    $0.20
    g5.48xlarge
    $0.12
    g5.12xlarge
    $0.12
    g4dn.8xlarge
    $0.25
    t3.medium
    $0.08

    Vendor refund policy

    no refund

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    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) .

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    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.

    Version release notes

    none

    Additional details

    Usage instructions

    Access the application via web browser at https://<instance-ip>:8888/,the password is your instance-id. Accept self-signed SSL certificate warning .

    Resources

    Vendor resources

    Support

    Vendor support

    prosupport@hanweie.com  If you encounter problems in the process of using the system, please feel free to contact us by email, thank you!

    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.

    Product comparison

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    Accolades

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    Top
    50
    In ML Solutions
    Top
    50
    In ML Solutions
    Top
    100
    In ML Solutions

    Overview

     Info
    AI generated from product descriptions
    Deep Learning Framework Support
    Includes multiple deep learning frameworks like TensorFlow 2.11, PyTorch 1.13, and Keras 2.11
    GPU Acceleration
    Automatic GPU instance support with Nvidia CUDA 11.7 and CUDNN 8.7 with TensorRT 8.5
    Python Development Environment
    Python 3.8 with integrated Jupyter Notebook server running on web port 8888
    Machine Learning Libraries
    Includes scientific computing and machine learning libraries such as Scikit Learn, Matplotlib, Numpy, and Pillow
    Web-Based Development Interface
    Automatically starts Jupyter Notebook server with instance ID as password for secure access
    Machine Learning Framework Support
    Includes pre-configured Tensorflow 2.15 and PyTorch 2.2 for deep learning model development
    GPU Acceleration
    Automatic GPU support with Nvidia CUDA 12.3 and CUDNN 8 for accelerated computational processing
    Development Environment
    Jupyter notebook server pre-configured with Python 3.11 for interactive coding and experimentation
    Scientific Computing Libraries
    Integrated Scikit Learn, Matplotlib, and Numpy for comprehensive data science and machine learning workflows
    Computational Flexibility
    Supports both GPU and CPU execution environments with automatic instance type detection
    Python Version Support
    Supports multiple Python versions including 3.8, 3.9, 3.10, and 3.11
    Data Science Package Ecosystem
    Includes comprehensive collection of popular data science Python packages
    Computational Mathematics Integration
    Incorporates SageMath for advanced mathematical computations
    Multi-User Notebook Environment
    JupyterHub server configured for simultaneous user access and notebook management
    Package Management
    Provides hundreds of pre-installed Python packages for scientific and computational workflows

    Contract

     Info
    Standard contract
    No

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