Listing Thumbnail

    Deep Learning OSS Nvidia Driver GPU PyTorch 2 Amazon Support by Fifty C.

     Info
    Free Trial
    AWS Free Tier
    This product has charges associated includes additional support provided by Fifty Clouds. By choosing this product, you gain not only the robustness of the original software but also access to specialized technical assistance and updates, ensuring optimal performance and seamless integration in your AWS environment. This Amazon Machine Image (AMI) is designed for deep learning workloads, providing an optimized environment for machine learning practitioners and researchers. The AMI is built on Amazon Linux 2, featuring PyTorch 2.0.1, one of the most popular open-source deep learning frameworks. It includes NVIDIA drivers specifically tuned for GPU acceleration, making it ideal for high-performance AI training and inference tasks.
    Listing Thumbnail

    Deep Learning OSS Nvidia Driver GPU PyTorch 2 Amazon Support by Fifty C.

     Info

    Overview

    This is a repackaged open source software product wherein additional charges apply associated includes additional support provided by Fifty Clouds. By choosing this product, you gain not only the robustness of the original software but also access to specialized technical assistance and updates, ensuring optimal performance and seamless integration in your AWS environment. This Amazon Machine Image (AMI) is designed for deep learning workloads, providing an optimized environment for machine learning practitioners and researchers. The AMI is built on Amazon Linux 2, featuring PyTorch 2.0.1, one of the most popular open-source deep learning frameworks. It includes NVIDIA drivers specifically tuned for GPU acceleration, making it ideal for high-performance AI training and inference tasks.

    Key Features:

    Pre-installed PyTorch 2.0.1: Leverage the latest advancements in PyTorch for deep learning model development. NVIDIA GPU Support: Fully compatible with NVIDIA GPUs, utilizing CUDA and cuDNN for optimized performance. Optimized for Amazon EC2 GPU Instances: Supports a range of GPU-based EC2 instances (e.g., P4, P3, G5) for efficient large-scale training and deployment. Amazon Linux 2: A lightweight, secure, and stable OS tailored for cloud environments, ensuring scalability and compatibility with AWS services. Developer-friendly: Pre-configured with essential deep learning libraries, including TorchVision, NumPy, and other PyTorch-related packages.

    Highlights

    • Optimized for GPU Performance: Includes NVIDIA drivers, CUDA, and cuDNN for accelerated deep learning workloads on AWS EC2 GPU instances like P4, P3, and G5.
    • Pre-configured with PyTorch 2.0.1: Ready-to-use environment featuring the latest PyTorch framework and essential libraries, ideal for training and inference of advanced deep learning models.
    • Amazon Linux 2 Base: Lightweight, secure, and scalable operating system tailored for the cloud, ensuring high compatibility with AWS services and seamless scaling of AI projects.

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux Latest Version: 23-10-2024

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.large) in the US East (N. Virginia) Region. View pricing details

    $0.193/hour

    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

    Free trial

    Try this product at no cost for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Deep Learning OSS Nvidia Driver GPU PyTorch 2 Amazon Support by Fifty C.

     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. 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 (607)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t1.micro
    $0.05
    $0.02
    $0.07
    t2.nano
    $0.05
    $0.006
    $0.056
    t2.micro
    AWS Free Tier
    $0.05
    $0.012
    $0.062
    t2.small
    $0.05
    $0.023
    $0.073
    t2.medium
    $0.10
    $0.046
    $0.146
    t2.large
    Recommended
    $0.10
    $0.093
    $0.193
    t2.xlarge
    $0.20
    $0.186
    $0.386
    t2.2xlarge
    $0.40
    $0.371
    $0.771
    t3.nano
    $0.05
    $0.005
    $0.055
    t3.micro
    AWS Free Tier
    $0.05
    $0.01
    $0.06

    Additional AWS infrastructure costs

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

    Vendor refund policy

    For this offering, Fifty Clouds does not offer refund, you may cancel at anytime.

    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

    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

    ver 23-10-2024

    Additional details

    Usage instructions

    To connect to an ec2-user instance on AWS using SSH with the username 'ec2-user', you can follow these three steps:

    Open your Terminal or SSH Client:

    On your local system, open the terminal or SSH client of your choice. You can use the terminal on your operating system if you're on Linux or macOS, or an SSH client like PuTTY if you're on Windows.

    In the terminal, use the SSH command followed by the public IP address of your instance and the username 'ec2-user'. For example:

    ssh -i /path/to/your/private-key.pem ec2-user@your-public-ip-address

    Replace "your-public-ip-address" with the public IP address of your instance.

    For more information: Connect to your instance, see the AWS EC2 documentation: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html 

    Support

    Vendor support

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to write a review for this product.