.@jandom_random of @open_fold and @jianwen_xie of Lambda took the main stage at the AI Drug Discovery & Development Summit (AIDDD) in Boston today. Their talk covered how open-source model training can speed up drug discovery research.
We’re at the AI Drug Discovery Development Summit in Boston, Oct 27–29. Come find us at booth #8.
On Oct 28 at 9:30 a.m. ET, @jianwen_xie and @jandom_random of @open_fold take the main stage to talk about open-source model training for drug discovery.
First up, fine-tuning
What if the same power budget could run more GPUs? In a proof of concept with @nvidia DSX MaxLPS on NVIDIA HGX B200 systems, Lambda ran 19 nodes in the power budget of 16, for 24% more cluster-wide token throughput and 23% better throughput per watt.
.@GNDave and @NetApp’s Arindam Banerjee at NetApp INSIGHT 2026, on what’s changing in the superintelligence era. Compute is not a commodity, and it needs to be thought of as a whole system to run efficiently. Watch from 7:06: youtube.com/watch?v=C5bRUj…
