Sold by: EvolutionaryScale, PBC
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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Pricing
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Dimensions summary
ESM3-open is a free protein language model you run on AWS through SageMaker. The four dimensions carry no software charge. They differ by two factors: the instance size you pick and the inference mode you run. You choose between the ml.g5.4xlarge and ml.g5.8xlarge instance types, which vary in compute capacity. For each instance, you select real-time mode for on-demand responses or batch mode for processing groups of requests together. Billing is per host hour of use. You pick the combination that fits your workload.
Top-of-mind questions for buyers
Both are GPU-backed AWS instance types. The ml.g5.4xlarge offers fewer vCPUs and less memory than the ml.g5.8xlarge, which provides more compute per host hour. You pick based on the size and speed your protein modeling workload needs. Each host hour reflects one running instance.
Real-time mode keeps an endpoint running for on-demand requests, so you get immediate responses. Batch mode processes groups of requests together, which suits large jobs run at once rather than live queries. Both bill per host hour. Choose real-time for interactive use and batch for bulk processing.
The four dimensions carry no software charge, since ESM3-open is free. Real-time endpoints bill host hours while running, even when idle between requests. Underlying AWS infrastructure fees still apply for that running time. Stopping the endpoint ends host-hour usage. Batch jobs meter only during processing.
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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.ai
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