Lambda

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.@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 OpenFold3 and training it on synthetic data. Then a look at how Lambda’s infrastructure speeds up that fine-tuning, with a deep dive into TurboPairFormer, a fast, stable GPU kernel built for OpenFold3 training.

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=C5bRUjIQ…

Only 7 in 10 AI researchers can reliably reach 2 accelerators or fewer for a typical project. Not 2,000. Just 2. We surveyed 200+ researchers in the Lambda Research Grant Program on what they’re building, what stands in their way, and what comes next. Here’s what they told us.

That's Lambda in the NVIDIA GTC Berlin keynote. We're building with @NVIDIA on secure, efficient AI infrastructure, including an NVIDIA DSX MaxLPS proof of concept, plus support for Confidential Bare Metal and the NVIDIA OpenShell Reference Architecture. #NVIDIAGTC

Power is the hardest constraint in AI infrastructure right now. Shawn Smith, Lambda's VP of Energy Infrastructure and Grid Development, joins the panel "Power plays - Surviving the new energy constraints" at @dcdnews Connect Virginia, Nov 3–4.

Heading to @stacresearch Summit NYC on Oct 21? Lambda's a platinum sponsor this year. Catch Jessica Nicholson and Devina Jain at 10:20 a.m. for "FSI at Lambda: research at the edge, performance in production." Then Quinn Kennedy gives the five-minute version of how Lambda got here at 2:25 p.m. We'll have our audited STAC-AI LANG6 results with us. Find us between sessions. Book time with the team: lambda.ai/stac-ny-book-a-mee…