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    Deep Learning AMI Amazon Linux 2 | Support by SupportedImages

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    AWS Free Tier
    This product has charges associated with it for seller support. The Deep Learning AMI (Amazon Linux 2) provides a pre-configured environment for developers and data scientists to accelerate their deep learning projects. With a wide array of popular frameworks like TensorFlow, PyTorch, and MXNet included, users can effortlessly build, train, and deploy machine learning models. This AMI supports GPU instances, enabling high-performance computing for complex tasks and large datasets. The comprehensive documentation and sample notebooks facilitate a smooth onboarding experience, making it ideal for both beginners and experts. Perfect for research in AI, academic projects, or production-level applications, this AMI empowers users to innovate faster in the cloud while leveraging the robust scalability and flexibility of AWS infrastructure.
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    Deep Learning AMI Amazon Linux 2 | Support by SupportedImages

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    Overview

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    This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.

    The Deep Learning AMI based on Amazon Linux 2 is an optimized environment for building, training, and deploying deep learning models in the AWS Cloud. This AMI provides a powerful set of tools and libraries, including popular frameworks such as TensorFlow, PyTorch, Apache MXNet, and more, pre-installed and ready to use.

    Key Features

    • Pre-configured Frameworks: Easily access the latest versions of deep learning frameworks, facilitating rapid development and experimentation.
    • GPU Support: Leverage GPU instances for accelerated compute performance, enhancing model training and inference times.
    • Extensive Documentation: Includes comprehensive documentation and examples, allowing users to quickly onboard and start building.
    • Development Tools: Integrated support for Jupyter Notebooks, making it convenient for interactive development and data visualization.
    • Amazon S3 Integration: Simplified access to Amazon S3 for large datasets, ensuring efficient data handling and storage solutions.

    Benefits

    • Reduced Setup Time: Get started immediately with a ready-to-use environment, minimizing the overhead involved in software installation and configuration.
    • Cost Efficiency: Pay only for what you use with flexible pricing options for EC2 instances, ensuring optimal resource utilization.
    • Scalability: Easily scale your applications with AWS's infrastructure, allowing you to handle increasing workloads without interruption.

    Use Cases

    • Research and Development: Ideal for researchers and data scientists looking to develop and test deep learning models without the hassle of environment setup.
    • Production Deployment: Deploy production-ready machine learning models efficiently, utilizing the robust AWS infrastructure to handle real-time inference.
    • Education: Serve as a learning platform for students and professionals looking to gain hands-on experience with deep learning technologies and best practices.

    Unlock the potential of deep learning in the cloud with the Deep Learning AMI on Amazon Linux 2, designed to enhance productivity and innovation for developers and data scientists alike.

    Try our most popular AMIs on AWS EC2

    Highlights

    • The Deep Learning AMI based on Amazon Linux 2 provides a comprehensive environment optimized for building and training machine learning models. Featuring popular frameworks such as TensorFlow, PyTorch, and Apache MXNet, it simplifies the setup process, allowing data scientists and engineers to focus on model development rather than infrastructure. With pre-installed packages, users can quickly run experiments or develop applications that leverage advanced AI capabilities.
    • This AMI is particularly beneficial for organizations that require scalable and efficient resources for deep learning tasks. By integrating seamlessly with Amazon EC2, users can take advantage of the elasticity of the cloud to provision instances as needed, optimizing costs. With support for GPU acceleration, users can significantly reduce training times for complex models, making it ideal for both research and production environments.
    • Moreover, the Deep Learning AMI supports a variety of use cases, from developing computer vision applications to natural language processing. Its robust feature set allows for easy deployment of AI solutions, whether for real-time inference or batch processing. Additionally, the AMI includes monitoring tools, enabling users to track performance metrics and make informed decisions to enhance their machine learning workflows.

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2

    Typical total price

    This estimate is based on use of the seller's recommended configuration (inf1.6xlarge) in the US East (N. Virginia) Region. View pricing details

    $2.30/hour

    Pricing

    Deep Learning AMI Amazon Linux 2 | Support by SupportedImages

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    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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (589)

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    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t1.micro
    $0.07
    $0.02
    $0.09
    t2.nano
    $0.07
    $0.006
    $0.076
    t2.micro
    AWS Free Tier
    $0.21
    $0.012
    $0.222
    t2.small
    $0.07
    $0.023
    $0.093
    t2.medium
    $0.14
    $0.046
    $0.186
    t2.large
    $0.14
    $0.093
    $0.233
    t2.xlarge
    $0.28
    $0.186
    $0.466
    t2.2xlarge
    $0.56
    $0.371
    $0.931
    t3.nano
    $0.07
    $0.005
    $0.075
    t3.micro
    AWS Free Tier
    $0.07
    $0.01
    $0.08

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges

    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

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    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

    System Updates

    Additional details

    Usage instructions

    SSH to the instance and login as 'ec2-user' using the key specified at launch.

    OS commands via SSH: SSH as user 'ec2-user' to the running instance and use sudo to run commands requiring root access.

    More on using Deep Learning AMI with Conda: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-conda.html 

    Support

    Vendor support

    Email support for this AMI is available through the following: https://supportedimages.com/support/  OR support@supportedimages.com 

    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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    Ratings and reviews

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    1 AWS reviews
    no NVIDIA gpu available

    no NVIDIA gpu available

    Reviewed on Jul 21, 2023
    Purchase verified by AWS

    it has CUDA 10.0 but no NVIDIA gpu nor drivers installed. instead of it, there is
    $ lspci | grep VGA
    00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
    00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111

    Wasted my time trying to run a CUDA app

    View all reviews