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    Comet MLOps Platform

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    Sold by: Comet ML 
    Comet's machine learning platform integrates with your existing infrastructure and tools so you can reproduce, debug, manage, visualize, and optimize model - from training runs to production monitoring. Add two lines of code to your notebook or script and automatically start tracking code, hyperparameters, metrics, and more, so you can compare and reproduce training runs.
    Listing Thumbnail

    Comet MLOps Platform

     Info
    Sold by: Comet ML 

    Overview

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    Comet's machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize model - from training runs to production monitoring.

    Add two lines of code to your notebook or script and automatically start tracking code, hyperparameters, metrics, and more, so you can compare and reproduce training runs.

    Comet helps ML teams: -Track and share training run results in real time. -Build their own tailored, interactive visualizations. -Track and version datasets and artifacts. -Manage their models and trigger deployments. -Monitor their models in production.

    Comet's platform supports some of the world's most innovative enterprise teams deploying deep learning at scale and is used by ML teams at Uber, Zappos, Shopify, Affirm, Etsy, Ancestry.com and ML leaders across all industries.

    Highlights

    • Track and share training run results in real time: Comet's ML platform gives you visibility into training runs and models so you can iterate faster.
    • Manage your models and trigger deployments: Comet Model Registry allows you to keep track of your models ready for deployment. Thanks to the tight integration with Comet Experiment Management, you will have full lineage from training to production.
    • Monitor your models in production: The performance of models deployed to production degrade over time, either due to drift or data quality. Use Comet's machine learning platform to identify drift and track accuracy metrics using baselines automatically pulled from training runs.

    Details

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    Delivery method

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

    Latest version

    Operating system
    Ubuntu 22.04 LTS

    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

    Comet MLOps Platform

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    Pricing and entitlements for this product are managed outside of AWS Marketplace through an external billing relationship between you and the vendor. You activate the product by supplying an existing license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. Subscriptions have no end date and may be cancelled any time. However, the cancellation won't affect the status of an active license if it was purchased outside of AWS Marketplace.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    The license token for this AMI is free for a single user.

    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

    Backend version: 3.12.42 Frontend version: 5.70.5

    Additional details

    Usage instructions

    This AMI comes preinstalled with an all-in-one Comet installation and is free for a single user with a license token. To get a license token, follow steps 1 and 2 from the Get License Token link in Additional Resources. Note: the remaining steps in this guide differ from step 3 in the guide for Get License Token, as that step describes how to complete a new installation of Comet which is not required for this AMI.

    Be sure to configure your EC2 instance with an SSH key you have access to, and once the instance is available, connect and run the following commands from a terminal to finish the Comet setup.

    1. Initialize the installation with your license token: cometctl init --license-token licensetoken

    2. Finish the Comet configuration: cometctl aio update-config

    • the update-config command opens the configuration file in a text editor in which you can edit the server configuration from the defaults. The command will prompt to select the text editor of your choice; if unsure, nano is the recommended selection.
    • The hostname or IP that Comet will be reached at is set in the configuration via comet_base_domain

    With the configuration update complete, navigate to the comet_base_domain to access Comet and get started.

    For more information, see also the links within Additional Resources to Verify Installation and Getting Started.

    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.

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