Case Study: Iambic Therapeutics accelerates AI-driven drug discovery with Lambda Cloud

How Iambic Therapeutics is Advancing Novel AI-Discovered Therapies with Help from Lambda Cloud

Iambic Therapeutics, a clinical-stage biotech company, faced a significant challenge in accessing sufficient GPU computing power to scale its state-of-the-art AI models for drug discovery. Their need for fast, reliable, and scalable infrastructure was hampered by the limitations of hyperscalers, which required extensive management and reservations. To advance their research without this operational burden, they turned to Lambda and its cloud services.

Lambda provided Iambic with a stable, scalable solution using NVIDIA H100 GPUs and a managed Kubernetes cluster. This infrastructure allowed Iambic to successfully train its advanced models, NeuralPLexer3 and Enchant™, accelerating the pace of its drug discovery pipeline. The results included a production-ready environment with a 97% lower node failure rate compared to other providers, enabling the company to iterate on models in real-time and focus on innovation.

Iambic Therapeutics

Matt Welborn

Vice President of Machine Learning