Supplies the GPUs and the BioNeMo framework most biological foundation models are trained on, and co-developed Evo 2 with Arc.
NVIDIA, based in Santa Clara and listed as NVDA, supplies the GPUs and the BioNeMo framework on which most biological foundation models are trained, and it co-developed Evo 2 with the Arc Institute. BioNeMo packages training and inference recipes for protein, DNA and single-cell models, and the company partners with Arc, Recursion and many pharmaceutical groups. OnCo links it to Evo 2, BioNeMo, AI compute and model platforms for oncology and federated learning. Whether dependence on one hardware and software supplier shapes which biological models get built is the fair question about its position. Evo 2 and BioNeMo have their own technology pages.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
Shares Evo 2 (Arc Institute, NVIDIA) and the tag ai.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
Shares Federated learning and privacy-preserving AI, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Shares AI compute and model platforms for oncology, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Open-source projects that this organisation maintains, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
The PyTorch framework for deep learning in medical imaging, co-founded by NVIDIA and King's College London, used for tumour segmentation and detection research and products.
An intelligent annotation server that plugs into 3D Slicer, OHIF and QuPath to speed up labelling with active learning.
NVIDIA's framework for training and running biology foundation models at scale.
Packages imaging AI models into deployable applications that speak DICOM to hospital systems.