Providers
Where to actually run the models in the catalog — hosted inference, fine-tuning, and weight downloads.
7 providers
Bio platformBenchling Model Hub
Run protein and complex structure prediction (AlphaFold 2, Chai-1, Boltz-2, Protenix, OpenFold, BoltzGen) inside the Benchling notebook and registry.
6 models · 6 with inference
Bio platformHelical
Run and fine-tune single-cell and genomics foundation models — Geneformer, scGPT, Evo 2 — via an open framework, hosted platform, and API.
7 models · 7 with inference · 7 fine-tunable
Bio platformLatch.bio
Bioinformatics platform for turnkey AlphaFold 2 structure prediction and Evo genomic-model fine-tuning, extensible via a Python SDK.
2 models · 1 with inference · 1 fine-tunable
Bio platformNeurosnap
No-code and API inference for protein folding, design, and docking — run AlphaFold 2, RFdiffusion, ProteinMPNN, and RoseTTAFold All-Atom online.
4 models · 4 with inference
Bio platformNVIDIA BioNeMo / NIM
GPU-accelerated inference and fine-tuning for protein structure, protein design, docking, and genomics foundation models via NIM microservices.
8 models · 8 with inference · 2 fine-tunable
Bio platformScigantic
Fine-tune open protein and DNA language models — ESM-2, ESMC, DNABERT-2 — from a CSV of sequence-to-label pairs, no GPU setup.
5 models · 5 with inference · 5 fine-tunable
Bio platformTamarind Bio
No-code and API inference for protein folding, antibody design, and docking — run ProteinMPNN, AlphaFold 2, RFdiffusion without setup.
5 models · 5 with inference