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

Iambic Therapeutics cuts node failures by 97% with Lambda

Iambic Therapeutics, a clinical-stage biotech company, faced the challenge of scaling its state-of-the-art AI models for drug discovery. The immense computing power required for long training runs and sophisticated model architectures led to a need for stable, continuous access to GPUs without wait times. Their previous exploration of hyperscalers proved too time-consuming and labor-intensive, requiring an estimated full-time employee just to manage resource provisioning. Seeking an agile partner, Iambic turned to vendor Lambda for a solution using Lambda Cloud.

Lambda provided Iambic with a production-ready cloud environment featuring access to NVIDIA H100 GPUs and a managed Kubernetes cluster. This stable and scalable infrastructure allowed Iambic to successfully train two major models, NeuralPLexer3 and EnchantTM, accelerating the pace of its drug discovery. The solution proved highly reliable, with Lambda's cluster experiencing 97% fewer node failures than the lowest average rate of other providers, enabling Iambic to focus on innovation and model development.

Iambic Therapeutics