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    Weights & Biases AI Development Platform for AWS

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    Weights & Biases is the leading AI Developer platform to build better models faster. Weights & Biases accelerates enterprises' ability to train models from scratch, fine-tune foundational models, and tune and manage prompts for large language models.
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    Weights & Biases AI Development Platform for AWS

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    Overview

    Build better models faster with Weights & Biases (W&B), the leading AI developer platform. Unlock your machine learning team's productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines - regardless of framework, environment, or workflow.

    With a few lines of code, save everything you need to debug, compare and reproduce your models - architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions.

    Weights & Biases helps ML teams of all sizes:

    • Debug model performance in real time
    • Understand & visualize GPU usage automatically
    • Create powerful, extensible visualizations about your datasets and your models
    • Share insights interactively with collaborators
    • Optimize hyperparameters efficiently
    • Track datasets, pipelines, and production models

    Trusted by more than 700,000 ML practitioners at some of the most innovative companies and research organizations in the world, Weights & Biases is the premier end-to-end platform for developing machine learning and AI applications.

    Highlights

    • W&B was created by ML engineers for ML engineers. Our mission is to build the best tools for Machine Learning.
    • Weights & Biases is trusted by more than 700K ML practitioners and used by ML teams including at OpenAI, Cohere, Toyota Research Institute, and ML category leaders across all industries.
    • Weights & Biases works seamlessly with any ML framework or existing architecture, whether in the cloud or on your own infrastructure.

    Details

    Delivery method

    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 free according to the free trial terms set by the vendor.

    Weights & Biases AI Development Platform for AWS

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    Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for any usage exceeds the entitle amount or not covered in the contract. These charges will be applied on top of the contract price. If you choose not to renew or replace your contract before it ends, access to your entitlements will expire.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    W&B Models
    Models Enterprise - SaaS Deployment (per user)
    $4,800.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    overage
    Storage overage
    $0.001

    Vendor refund policy

    Non-Refundable. Unless otherwise expressly provided for in this agreement or the applicable Order Form, (i) all fees are based on services purchased and not on actual use; and (ii) all fees paid under this agreement are non-refundable.

    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

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    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.

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    Customer reviews

    Ratings and reviews

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    37 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Giannis Z.

    Weights and biases changed the way I interact with my models.

    Reviewed on Sep 10, 2024
    Review provided by G2
    What do you like best about the product?
    The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many metrics you have or how complex they are. It's also very simple to use!
    What do you dislike about the product?
    Can't think of anything that I dislike, my experience has been very positive until now.
    What problems is the product solving and how is that benefiting you?
    Helps a lot with visualization and performance tracking.
    Datta N.

    WandMe

    Reviewed on Aug 30, 2024
    Review provided by G2
    What do you like best about the product?
    The ability to track everything including gradients is a wonderful aspect.
    What do you dislike about the product?
    One problem is if there's a zombie wandb process and I try to kill it, it makes other functioning trainig runs terminate.
    What problems is the product solving and how is that benefiting you?
    To keep track of all the experiments and look at the comparisons anytime.
    Also share the plots and reports with the rest of the world.
    Shimon S.

    Great platform for collaboration of experiments with intuitive coding steps

    Reviewed on Aug 19, 2024
    Review provided by G2
    What do you like best about the product?
    The API is self explanatory and the UI is smart
    What do you dislike about the product?
    Caching management is not clear, dis not find a way to clean old logs
    What problems is the product solving and how is that benefiting you?
    Sharing results, experiment tracking management
    Liam C.

    Best software for ML experiment tracking

    Reviewed on Aug 16, 2024
    Review provided by G2
    What do you like best about the product?
    - Ability to view in browser
    - Ability to share with collaborators
    - Ability to add figures to experiment reports
    What do you dislike about the product?
    - Annoying bug with visualising segmentation labels - red speckles appear in the label masks which can make it hard to evaluate.
    What problems is the product solving and how is that benefiting you?
    Tracking ML experiments and sharing with collaborators
    Justin D.

    Top-tier service for bargain bin prices

    Reviewed on Jul 26, 2024
    Review provided by G2
    What do you like best about the product?
    The hosted aspect is great and if you avoid storing large artifacts, too many histograms, or too many images, it's very cheap or free even for heavy usage. I often run training on remote systems and checking the eval outputs remotely can be a pain with other software like TensorFlow. You need to be sure to run the server on your instance to view the dashboard. With W&B you get comparably powerful features, and you don't need to do anything but run your train script. In addition to hosting, the Sweeps functionality is excellent for hyper-parameter sweeping and pre-determined groups of runs in multi-task settings.
    What do you dislike about the product?
    Some UI elements, like the Runs data table, can be laggy, and sometimes the auto-refresh seems finicky.
    What problems is the product solving and how is that benefiting you?
    W&B helps track and debug my experiments. I use it for developing new models, observing loss scales and adjusting them so they're in compatible ranges, detecting and addressing gradient instabilities such as vanishing or exploding. I also use it for hyper-parameter searching to find the best values for my training runs. Additionally, I use the Sweeps functionality for coordinating runs that involve many related models that are deployed together.
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