Explore how Systems Engineering and Virtual Twins can help design scalable, future-ready AI infrastructure that adapts to evolving hardware and energy demands.
As AI hardware evolves from Hopper to Blackwell and beyond, data center infrastructure faces unprecedented pressure. Rising power densities impact everything from power and cooling to networking, floor space, and facility design.
In this session, discover how Systems Engineering helps model, optimize, and scale the critical "grey space" infrastructure of AI factories. Learn how a unified, model-based approach enables flexible, future-ready environments that can rapidly adapt to evolving AI technologies and increasing energy demands.
Key Takeaways
This session is for professionals involved in planning, designing, constructing, and operating AI-ready data centers, including colocation providers, data center owners and operators, EPC firms, design and engineering consultants, infrastructure and facilities leaders, and data center architects and engineering teams.
As the third session in our Data Center Innovation Series, this webinar builds on earlier discussions about AI infrastructure deployment and design optimization and focuses on how organizations can future-proof their AI factories for continuous hardware evolution.