LanceDB says NVIDIA used Lance datasets to curate Cosmos 3 training data
NVIDIA's report describes Cosmos 3 as an omnimodal model family; LanceDB's claim ties the release to training-data infrastructure.
By Ryan Merket · Published
Primary source: X
Why it matters
If LanceDB's claim is accurate, Cosmos 3 is evidence that physical AI training infrastructure is being shaped not just by models and GPUs, but by the storage layer used to curate vast multimodal datasets.
LanceDB said in a post on X that NVIDIA's Cosmos 3 training pipeline was built on LanceDB, with NVIDIA's internal SILA curation platform processing "tens of billions" of multimodal training candidates as a single unified Lance dataset.