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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Command R+ 08-2024 (A100) Free trial

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Latest Version:
v1.0.5
Command R+ 08-2024 is a highly performant generative language model optimized for large scale production workloads.

    Product Overview

    Command R+ 08-2024 is a powerful generative language model that can be utilized across a broad set of use cases. It is designed to excel at reasoning, summarization, and question answering, and can also be optimized for any industry use case. It is proficient in the 10 most commonly used business languages (Arabic, Mandarin, English, French, German, Italian, Spanish, Japanese, Korean, and Portuguese) and pre-trained on 13 additional languages, ensuring seamless understanding and response in various tongues. It excels at RAG, ensuring strong performance for businesses looking to harness their data and internal knowledge sources in combination with a generative language model.

    Key Data

    Version
    Show other versions
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Command R+ 08-2024 performs highly across enterprise use cases, especially those utilizing RAG. It can power complex RAG systems, advanced knowledge assistants and more, all grounded in relevant data. It is also performant at long-context tasks, Command R+ 08-2024 has a token context length of 128k that can be used alongside RAG.

    • Command R+ 08-2024 is proficient in the 10 most commonly used business languages (Arabic, Mandarin, English, French, German, Italian, Spanish, Japanese, Korean, and Portuguese) and pre-trained on 13 additional languages. The model excels at enterprise oriented tasks such as: document summarization, content Q&A, long-form generation, and content generation amongst others. It can power knowledge assistants, chatbots, customer support agents and more.

    • Command R+ 08-2024 allows users to automate highly sophisticated tasks through tool use. Users can build user defined tools to assist in everyday tasks and can perform both single step and multi step actions.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$52.89/hr

    running on ml.p4de.24xlarge

    Model Batch Transform$52.89/hr

    running on ml.g4dn.12xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$47.111/host/hr

    running on ml.p4de.24xlarge

    SageMaker Batch Transform$4.89/host/hr

    running on ml.g4dn.12xlarge

    About Free trial

    Try this product for 7 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.p4de.24xlarge
    Vendor Recommended
    $52.89

    Usage Information

    Model input and output details

    Input

    Summary

    The model accepts JSON requests with parameters that can be used to control the generated text. See examples and fields descriptions below.

    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    The output is a JSON object that has the generated text along with likelihoods of tokens, if requested. See example json.

    Output MIME type
    application/json
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Command R+ 08-2024 (A100)

    AWS Infrastructure

    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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    Refund Policy

    No refunds. Please contact support+aws@cohere.com for further assistance.

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