Sold by: EvolutionaryScale, PBCÂ
Deployed on AWS
The 6B version of ESM Cambrian; a protein language model that defines a new state of the art for protein representation learning.
Overview
ESM Cambrian is a next generation language model trained on protein sequences at the scale of life on Earth. ESM C models define a new state of the art for protein representation learning. ESM C models are a parallel model family to our flagship ESM3 generative models for programmable protein engineering. While ESM3 focuses on controllable generation of proteins for therapeutic and many other applications, ESM C focuses on creating representations of the underlying biology of proteins. ESM C scales up data and training compute to deliver dramatic performance improvements over ESM2.
Highlights
- The 6B version of ESM Cambrian; a protein language model that defines a new state of the art for protein representation learning.
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 (Batch) Recommended | Model inference on the ml.g5.4xlarge instance type, batch mode | $76.00 |
ml.g6e.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.2xlarge instance type, real-time mode | $76.00 |
ml.g5.8xlarge Inference (Batch) | Model inference on the ml.g5.8xlarge instance type, batch mode | $76.00 |
ml.g5.8xlarge Inference (Real-Time) | Model inference on the ml.g5.8xlarge instance type, real-time mode | $76.00 |
ml.g5.4xlarge Inference (Real-Time) | Model inference on the ml.g5.4xlarge instance type, real-time mode | $76.00 |
ml.g6e.4xlarge Inference (Real-Time) | Model inference on the ml.g6e.4xlarge instance type, real-time mode | $76.00 |
Vendor refund policy
Refunds are not applicable for the sagemaker inference deployment of the ESM C model
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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
Bugfixes: reduce gpu imprecision, fix list encoding bug
Additional details
Inputs
- Summary
Please refer to our documentation at https://github.com/evolutionaryscale/esmÂ
- Input MIME type
- application/json
https://github.com/evolutionaryscale/esm
https://github.com/evolutionaryscale/esm
Resources
Vendor resources
Support
Vendor support
You can read our documentation at https://github.com/evolutionaryscale/esm or view our detailed docs at https://forge.evolutionaryscale.ai/reference .
Email support@evolutionaryscale.ai if you need dedicated help.
AWS infrastructure support
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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