Sold by: EvolutionaryScale, PBCÂ
Deployed on AWS
The open version of ESM3; a frontier multimodal generative model that reasons over the sequences, structures, and functions of proteins
Overview
ESM3 is a frontier generative AI model for biology. It simultaneously reasons over the fundamental properties of a protein: sequence, structure, and function. ESM3 can be interactively prompted with combinations of its tracks. ESM3 allows scientists to read, imagine, and create proteins.
Highlights
- The open version of ESM3; a frontier multimodal generative model that reasons over the sequences, structures, and functions of proteins
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.4xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.4xlarge instance type, real-time mode | $0.00 |
ml.g5.4xlarge Inference (Batch) Recommended | Model inference on the ml.g5.4xlarge instance type, batch mode | $0.00 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $0.00 |
ml.g5.2xlarge Inference (Batch) | Model inference on the ml.g5.2xlarge instance type, batch mode | $0.00 |
ml.g5.8xlarge Inference (Batch) | Model inference on the ml.g5.8xlarge instance type, batch mode | $0.00 |
ml.g5.8xlarge Inference (Real-Time) | Model inference on the ml.g5.8xlarge 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
Performance improvements and compatibility with esm package >=3.1.2
Additional details
Inputs
- Summary
Please refer to ESM3-Open docs at https://github.com/evolutionaryscale/esm .
- Input MIME type
- application/json
https://github.com/evolutionaryscale/esm-sagemaker/blob/main/samples/realtime/input.json
https://github.com/evolutionaryscale/esm-sagemaker/blob/main/samples/realtime/input.json
Resources
Vendor resources
Support
Vendor support
Please contact support@evolutionaryscale.aiÂ
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