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.
Modjoul Walking Model Free trial
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Latest Version:
BP_v1.0
The walking model tracks your steps, distance and duration
Product Overview
Jump start your ability to understand how much walking was done during the day. Leverage the Modjoul Walking model to understand your steps, how far you walked, and how long you walked.
Key Data
Version
By
Type
Model Package
Highlights
Easy to use model quickly calculates walking steps based upon data from three accelerometers
Use to determine the amount of walking for your employees, athletes, elderly, children, or other groups of people for whom you are responsible
Easy to use output to help gauge level of walking and exertion on a given day
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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$0.65/hr
running on ml.m5.large
Model Batch Transform$0.65/hr
running on ml.m5.large
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$0.115/host/hr
running on ml.m5.large
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
About Free trial
Try this product for 14 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.m5.xlarge | $0.65 | |
ml.m5.2xlarge | $0.65 | |
ml.m5.4xlarge | $0.65 | |
ml.m5.12xlarge | $0.65 | |
ml.m4.4xlarge | $0.65 | |
ml.m4.10xlarge | $0.65 | |
ml.m4.16xlarge | $0.65 | |
ml.c5.xlarge | $0.65 | |
ml.c5.2xlarge | $0.65 | |
ml.c5.18xlarge | $0.65 | |
ml.c4.xlarge | $0.65 | |
ml.c4.2xlarge | $0.65 | |
ml.c4.4xlarge | $0.65 | |
ml.c4.8xlarge | $0.65 | |
ml.p2.xlarge | $0.65 | |
ml.p2.8xlarge | $0.65 | |
ml.p2.16xlarge | $0.65 | |
ml.p3.2xlarge | $0.65 | |
ml.p3.8xlarge | $0.65 | |
ml.p3.16xlarge | $0.65 | |
ml.m5.24xlarge | $0.65 | |
ml.m4.xlarge | $0.65 | |
ml.m4.2xlarge | $0.65 | |
ml.m5.large Vendor Recommended | $0.65 | |
ml.c5.4xlarge | $0.65 | |
ml.c5.9xlarge | $0.65 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Modjoul Motion Model for Buyer Preview version.
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.
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