That's really cool! How much do scientists at big pharma use open-source models as opposed to models trained on their proprietary data? Do you guys have tie-ups to provide inference for models used internally at big pharma trained on proprietary data?

Good amount of both! I would say proprietary models tend to be fine-tuned versions of the published ones, although many will be completely new architectures. We also let folks fine-tune models with their proprietary data on Tamarind directly.

We do let people onboard their own models too, basically the users just see a separate tab for their org, which is where all the scripts, docker images, notebooks their developers built interfaces for live on Tamarind.