Product News
Teams doing computational biology or drug discovery can now run OpenFold3 on managed AWS infrastructure with cost controls and data privacy options, without building the serving stack themselves.
AWS published a guide to deploying OpenFold3-preview, an AI model that predicts 3D structures of proteins, DNA, RNA, and ligand complexes, from Amazon SageMaker JumpStart into a customer's own AWS account. The post covers asynchronous inference, multi-GPU parallelism, bringing your own multiple sequence alignments for accuracy and privacy, and scaling to zero to reduce cost.
Read the full article at AWS AI/ML
CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
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