Lambda 参展 AI Drug Discovery Summit，将分享 OpenFold3 微调实践
Lambda 在波士顿这场药物发现峰会分享 OpenFold3 微调经验，还带来自研的 TurboPairFormer GPU kernel，做结构生物模型的可以关注。
Lambda 将于 10 月 27–29 日参加在波士顿举办的 AI Drug Discovery Development Summit，展位为 #8。10 月 28 日 9:30 a.m. ET，来自 OpenFold 的 Jianwen Xie 和 Jan Dom Random 将登台讲解药物发现的开源模型训练。演讲内容包括在合成数据上微调 OpenFold3，以及 Lambda 基础设施如何加速该微调过程。团队还将深入介绍 TurboPairFormer——一个为 OpenFold3 训练构建的快速、稳定的 GPU kernel。
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.
