Launch HN: Tamarind Bio (YC W24) – AI Inference Provider for Drug Discovery
81 points by denizkavi
by washedDeveloper
1 subcomments
The org I work on develops HTCondor. We have a lot of scientists that end up running alphafold and other bio related models on our pool of GPUs and CPUs. I am curious to know how and why your team implemented yet another job scheduler. HTCondor is agnostic to the software being ran, so maybe there is more clever scheduling you can come up with. That being said, HTCondor also has pretty high flexibility with regards to policy.
by dannykwells
0 subcomment
Tamarind is the best! Truly a YC company that provides true, bona fide value to biologists like us. (Hi Sherry!)
by brandonb
1 subcomments
Congrats on the launch. I always love to see smart ML founders applying their talents to health and bio.
What were the biggest challenges in getting major pharma companies onboard? How do you think it was the same or different compared to previous generations of YC companies (like Benchling)?
by the__alchemist
1 subcomments
Cool project! I have a question based on the video: What sort of work is it doing from the "Upload mmCIF file and specify number of molecules to generate" query? That seems like a broad ask. For example, it is performing ML inference on a data set of protein characteristics, or pockets in that protein? Using a ligand DB, or generating ligands? How long does that run take?
by Akshay0308
1 subcomments
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?
by conradry
1 subcomments
You may find this library I wrote a couple years ago interesting: https://github.com/conradry/prtm. Curious about why you chose to make separate images for each model instead of copy-pasting source code into a big monorepo (similar to Huggingface transformers).
by machbio
1 subcomments
Looks good - would have really appreciated if the pricing page contained any examples of pricing instead of book a meeting
by tmychow
0 subcomment
Congrats on the launch - excited to try it out!
by johnsillings
0 subcomment
selling to big pharma companies as a startup is hard, so huge props on getting adoption there. the product looks very slick.
by t_serpico
1 subcomments
nice stuff! how do you handle security concerns big pharma may have? wouldn't they just run their stuff on-prem?
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