Sold by: Orbital MaterialsÂ
Overview
Orb is a universal interatomic potential for atomistic modelling of materials. Orb models are 3-6 times faster than existing universal potentials, stable under simulation for a range of out of distribution materials and, upon release, represented a 31% reduction in error over other methods on the Matbench Discovery benchmark
Highlights
- Orb
Details
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g4dn.12xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.12xlarge instance type, batch mode | $0.00 |
ml.p3.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.p3.2xlarge instance type, real-time mode | $0.00 |
ml.p3.8xlarge Inference (Real-Time) | Model inference on the ml.p3.8xlarge instance type, real-time mode | $0.00 |
ml.g4dn.4xlarge Inference (Real-Time) | Model inference on the ml.g4dn.4xlarge instance type, real-time mode | $0.00 |
ml.g4dn.16xlarge Inference (Real-Time) | Model inference on the ml.g4dn.16xlarge instance type, real-time mode | $0.00 |
ml.g4dn.8xlarge Inference (Real-Time) | Model inference on the ml.g4dn.8xlarge instance type, real-time mode | $0.00 |
ml.g4dn.12xlarge Inference (Real-Time) | Model inference on the ml.g4dn.12xlarge instance type, real-time mode | $0.00 |
ml.p4d.24xlarge Inference (Real-Time) | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $0.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $0.00 |
ml.g4dn.xlarge Inference (Real-Time) | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $0.00 |
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Delivery details
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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Orb v2 Release
Additional details
Inputs
- Summary
The model can take in binary from any CIF file. CIF files can be created by ase or any other chemistry package. The files should contain unit cell paramaters and atomic coordinates.
Please see the sample notebook for examples on how to call the endpoint.
- Limitations for input type
- The input file must be a binary, read from a valid CIF and be comapatible with the ase input reader v3.*
- Input MIME type
- application/octet-stream
https://github.com/orbital-materials/orb-models/blob/main/aws/examples/4A.cif
https://github.com/orbital-materials/orb-models/blob/main/aws/examples/4A.cif
Resources
Vendor resources
Support
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