Where to actually run the models in the catalog — hosted inference, fine-tuning, and weight downloads.
7 providers
AWS Marketplace listings and SageMaker JumpStart deploy biological foundation models onto managed endpoints in the subscriber's own AWS account.
11 models · 11 with inference · 1 fine-tunable
Managed structure prediction on registry data inside the electronic lab notebook, and on uploaded sequences from a standalone benchling.ai account.
14 models · 14 with inference
Managed cloud endpoints for deploying and fine-tuning biological foundation models, billed per token or per node-hour depending on serving mode.
8 models · 8 with inference
Open repository for downloading protein, DNA, RNA, single-cell and pathology foundation model weights, with managed inference endpoints alongside.
262 models · 262 with weights
GPU-accelerated inference for structure prediction, protein design, docking and genomics, as hosted endpoints or self-hosted microservices.
18 models · 11 with inference · 8 with weights
Managed notebooks for fine-tuning open protein, DNA and molecule models from labelled sequence data, with no GPU setup and linked cloud storage.
11 models · 11 with inference · 11 fine-tunable
Open research repository operated by CERN, hosting DOI-citable, versioned model weights archived alongside the papers that describe them.
23 models · 23 with weights