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.

Cohere Command R+ (A100) Free trial
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Latest Version:
v1.0.10
Command R+ is a generative language model optimized for long-context tasks and large scale production workloads.
Product Overview
Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This variant of the model runs on A100 GPUs.
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Highlights
Command R+ is built for enterprises that plan to leverage their internal data and documents for a tailored and accurate language model. It utilizes retrieval-augmented generation (RAG) to provide accurate and verified information, ensuring credible interactions. Command R+ model outputs come with clear citations. It is proficient in the most commonly used business languages (10 languages), ensuring seamless understanding and response in various tongues.
128k Context Window: Processes a wide context window of up to 128k tokens, optimizing for RAG use cases and performance. Tool Use: Build user-defined tools that enable Command R+ to automate highly sophisticated tasks using internal infrastructure as well as external tools like CRMs and search engines.
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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.
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$82.89/hr
running on ml.p4de.24xlarge
Model Batch Transform$82.89/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$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 | $82.89 |
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/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
Additional Resources
End User License Agreement
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Support Information
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.
Learn MoreRefund Policy
No refunds. Please contact support+aws@cohere.com for further assistance.
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