OpenFold3-preview launches on SageMaker JumpStart
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AWS has made OpenFold3-preview available on Amazon SageMaker JumpStart and published a deployment tutorial explaining how to deploy the model on a SageMaker asynchronous inference endpoint. OpenFold3-preview can predict the three-dimensional structures of proteins, DNA, RNA, small-molecule ligands, and their complexes. AWS states that SageMaker endpoints are billed by instance-hour and continue to be billed while running even when idle; after scale-to-zero is enabled, once the queue has been empty long enough and the endpoint has scaled down, endpoint instance charges stop, but other charges such as Amazon S3 storage still apply. The code in the tutorial is sample code for experimentation.
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- AWS Machine Learning BlogOpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures
Amazon SageMaker JumpStart now lets you deploy OpenFold3-preview, an open source all-atom biomolecular structure prediction model from the OpenFold Consortium and Columbia University's AlQuraishi Lab, to predict 3D structures of proteins, DNA, RNA, small-molecule ligands and their complexes. The post walks through deploying it on an asynchronous inference endpoint, submitting prediction jobs, interpreting mmCIF outputs with pLDDT, PAE and PDE confidence metrics, running parallel predictions on multi-GPU instances, supplying your own MSAs, and scaling the endpoint to zero when idle.
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