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    OpenSees Virtual Machine

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    AWS Free Tier
    From the makers of OpenSees Cloud, the OpenSees Amazon Machine Image (AMI) comes pre-configured for high performance OpenSees computing in the cloud.
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    OpenSees Virtual Machine

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    Overview

    The OpenSees AMI is preconfigured with OpenSees, Python, Tcl, OpenSeesMP, and MPI to meet all your high performance computing needs for earthquake engineering simulation. Available in the T3, M5, and C5 instance series on EC2, you can run OpenSees with up to 96 vCPUs and 384 GB RAM.

    Highlights

    • Run OpenSeesPy, OpenSees.exe, and OpenSeesMP instantly
    • OpenSeesPy, Python 3.x, numpy, pandas, TensorFlow, OpenSees.exe (Tcl 8.6, OpenSeesMP), MPI 4.1.2
    • No compilation or installation of OpenSees required

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2023

    Typical total price

    This estimate is based on use of the seller's recommended configuration (c5.large) in the US East (N. Virginia) Region. View pricing details

    $0.105/hour

    Pricing

    OpenSees Virtual Machine

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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 (25)

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    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.nano
    $0.001
    $0.005
    $0.006
    t3.micro
    AWS Free Tier
    $0.002
    $0.01
    $0.012
    t3.small
    $0.004
    $0.021
    $0.025
    t3.medium
    $0.008
    $0.042
    $0.05
    t3.large
    $0.016
    $0.083
    $0.099
    t3.xlarge
    $0.032
    $0.166
    $0.198
    t3.2xlarge
    $0.064
    $0.333
    $0.397
    m5.large
    $0.02
    $0.096
    $0.116
    m5.xlarge
    $0.04
    $0.192
    $0.232
    m5.2xlarge
    $0.08
    $0.384
    $0.464

    Additional AWS infrastructure costs

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

    Vendor refund policy

    No refunds

    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.

    Additional details

    Usage instructions

    https://secondsees.com/opensees-ami-usage-instructions/ 

    To use Jupyter Notebook

    • Add a security group with TCP at port 7777
    • Go to the public ip given by the instance with port 7777
    • When prompted with password the first time log in, just click "Log in"

    Support

    Vendor support

    Support is offered for creating an OpenSees AMI instance. support@portwooddigital.com 

    OpenSees modeling support is not provided.

    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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