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.

Command R 08-2024 (H100) Free trial
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Latest Version:
v1.0.5
Command R 08-2024 is a generative language model optimized for large scale production workloads.
Product Overview
Command R 08-2024 is an updated highly performant generative large language model. It is designed to excel across a variety of use cases including reasoning, summarization, and question answering, with increased performance on coding, math, and reasoning. The model has the capability for multilingual generation evaluated in 10 key business languages, alongside pre-training for an additional 13 languages. With highly performant RAG capabilities, it is built for enterprises that plan to leverage their internal data and documents for a tailored and accurate language model. Batch transform is not supported with this model.
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Highlights
Command R 08-2024 utilizes retrieval-augmented generation (RAG) to deliver accurate and verified responses. This approach ensures credible and trustworthy interactions by providing clear and in-line citations for users to verify. With RAG, Command R 08-2024 can be grounded in internal documents and data, providing accurate and actional model outputs.
Command R 08-2024 has a 128k token context window. This updated model excels at tool use, which can be implemented to build user-defined tools. These tools enable the model to automate highly sophisticated tasks using internal infrastructure as well as external tools.
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, ensuring seamless understanding and response in various tongues. The model excels at long-context 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.
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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.
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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$16.93/hr
running on ml.p5.48xlarge
Model Batch Transform$16.93/hr
running on ml.g4dn.12xlarge
Infrastructure PricingWith 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
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$113.07/host/hr
running on ml.p5.48xlarge
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.p5.48xlarge Vendor Recommended | $16.93 |
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/jsonSample 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/jsonSample output data
Sample notebook
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