Discover how biotech and healthcare teams are fast-tracking research and development through AI and high-performance cloud infrastructure. Ross Katz sits down with Hugo Shi of Saturn Cloud and Ilya Burkov of Nebius to explore scalable, secure solutions for GPU-heavy AI workloads. From compliance to cost savings, this episode unpacks what it takes to innovate at scale in life sciences.
What You'll Learn in This Episode:
>> Why AI workloads in biotech demand specialized infrastructure
>> How Saturn Cloud and Nebius simplify compliance, scale, and security for life sciences
>> Real-world examples of gene editing, RNA sequencing, and medical imaging powered by cloud AI
>> The trade-offs between hyperscalers and NeoClouds for GPU availability and cost
>> Strategies for deploying, optimizing, and managing large-scale AI models
Meet Our Guests
Hugo Shi is the CTO and Founder of Saturn Cloud and a co-founder of Anaconda. He brings deep expertise in data science, AI infrastructure, and open-source development, helping teams scale complex workloads with minimal friction.
Ilya Burkov is Global Head of Healthcare & Life Sciences Growth at Nebius. With a background in medicine and cloud technology, Ilya leads strategy and partnerships to empower biotech teams with secure, high-performance compute solutions.
About The Host
Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation.
Connect with Our Guest:
Connect with Us:
- Follow the podcast for more insightful discussions on the latest in biotech and data science.
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- Connect with Ross Katz on LinkedIn
Sponsored by…
This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.
