
Overview
Heavy equipment like fork lifts, back hoes, generators, dump trucks are very expensive to own and operate. Modjoul Asset Optimization Model will tell you on a daily basis the duration that the equipment is being utilized. Modjoul Asset Utilization Model identifies the proper time for maintenance on equipment by giving the duration time that the equipment is in operation.
Highlights
- Easy-to-use model quickly determines whether a rent/lease or buy decision should be made by hours used.
- Useful output of duration can be tracked by the day, week or customizable time period and will dictate proper maintenance to be performed on equipment.
- Estimated software fee is $0.65 per user per month on ml.t2.medium, for 8 hours of data per day, 21 days a month.
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.65 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $0.65 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.65 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.65 |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $0.65 |
ml.m5.24xlarge Inference (Batch) | Model inference on the ml.m5.24xlarge instance type, batch mode | $0.65 |
ml.m4.xlarge Inference (Batch) | Model inference on the ml.m4.xlarge instance type, batch mode | $0.65 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $0.65 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $0.65 |
ml.m4.10xlarge Inference (Batch) | Model inference on the ml.m4.10xlarge instance type, batch mode | $0.65 |
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Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
Buyer Preview Version
Additional details
Inputs
- Summary
Modjoul Asset Utilization Model for Buyer Preview version.
- Input MIME type
- text/csv
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