Generative chemistry at scale: practical lessons from Quantori & Nebius

Join Quantori and Nebius to explore a shape-guided molecular generation pipeline powered by stable diffusion and graph neural networks.

We will focus on the technical design of the workflow and the cloud-native practices that made large-scale experimentation affordable, reproducible and fast.

You will see a complete, real-world blueprint for deploying generative chemistry solutions in drug-discovery teams.

What you’ll learn

Pipeline architecture: How Quantori built and integrated a next-gen molecular generation system using diffusion models and GNNs.
Performance insights: Benchmarks and real-world outcomes from the collaboration, including efficiency, scalability and accuracy.
Infrastructure strategy: How Nebius cloud infrastructure supports reproducibility, cost-efficiency and speed in AI-powered molecular design.
Lessons and practical tips for deploying similar systems in real-world biotech environments

For who

Computational chemists, cheminformatics specialists and AI/ML researchers working in molecular modeling or drug discovery.
Innovation leaders, R&D managers and platform scientists at biotech and pharmaceutical companies evaluating new tools for molecule generation.
CTOs and infrastructure architects exploring scalable, cost-efficient cloud solutions for complex life sciences workloads.