Data in Biotech Scaling AI infra in biotech with Saturn Cloud and Nebius
Nov 5, 2025
In this discussion, Hugo Shi, CTO of Saturn Cloud and co-founder of Anaconda, and Ilya Burkov, Global Head of Healthcare at Nebius, delve into the critical intersection of AI and biotech. They explore how specialized cloud infrastructure can alleviate challenges like GPU scarcity and compliance for biotech teams. Real-world applications of AI in gene editing and medical imaging highlight their innovative approaches. Notably, they reveal how choosing Nebius can significantly reduce costs—by up to 70%—compared to traditional hyperscalers.
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Multimodal Biotech Workloads Need Flexible Compute
- Biotech AI workloads are multimodal, growing in size, and often hybrid across on-prem and cloud.
- Teams need flexible, high-performance infrastructure to handle GPU scarcity, scale, and complex pipelines.
Enforce Guardrails And Integrate Security Tools
- Lock down security and provide guardrails so researchers can work without risky cloud keys or data exposure.
- Integrate customer security stacks (CrowdStrike, Orca, Sentinel) to meet compliance needs in life sciences.
Quickly Spin Up On Nebius With Saturn Cloud
- Install Saturn Cloud on a Nebius-managed Kubernetes cluster and use a Docker image with the needed dependencies.
- Move GPU workloads to a NeoCloud like Nebius to reduce GPU cost and improve availability.