Beginner’s Guide to AI Infrastructure for Biotech
A guide for biotech teams on building AI infrastructure that can handle massive datasets, compute-heavy modeling, and regulatory requirements—covering core systems, deployment models, and strategies for scaling.
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Why biotech workloads push AI infrastructure to its limits
Core building blocks: compute, networking, and storage
Cloud, on-prem, and hybrid models compared
A step-by-step framework to design a scalable infrastructure strategy
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