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Optimizing Across the Full Hardware and Software Stack

AI workloads grow denser and less predictable, traditional power and cooling can no longer keep pace with modern infrastructure. This divide between "white space" compute and "gray space" power has become a critical barrier to scaling—demanding a fundamentally new approach to energy management.

In this session, experts from across the data center value chain share proven strategies and real-world case studies to bridge this gap. You’ll discover how to unlock hidden capacity by integrating compute and cooling, using digital energy twins for real-time optimization, and implementing predictive load management. Join us to learn how supporting high-density AI within your existing environment translates into a measurable competitive and financial advantage.

Webinar Speakers

Maria Kretzing

Vice President, Product
PADO AI

Mark Ardire

Director, Mission Critical Solutions
LG HVAC Solutions USA

Jun Shimada

CTO
PADO AI

Webinar Takeaways

  1. Bridging the Gap Between IT and Infrastructure: Learn how breaking down the silos between "white space" compute and "gray space" power/cooling is essential for scaling AI and overcoming modern capacity barriers.

  2. Real-Time Optimization via Digital Twins: Discover how digital energy twins and predictive modeling forecast power demand and optimize energy usage in real time to keep pace with volatile AI workloads.

  3. Maximizing Existing Assets for High-Density AI: Hear strategies for supporting power-hungry AI infrastructure to maximize the productivity potential of your datacenter and unlock additional revenue.


Who Should Attend?

  1. Data Center & Facilities Operations: Professionals looking to modernize "gray space" infrastructure and cooling for high-density AI.

  2. IT & Infrastructure Architects: Technical leaders focused on bridging the gap between "white space" compute and energy management.

  3. Sustainability & Energy Leads: Executives aiming to optimize PUE and turn energy efficiency into a measurable financial advantage.

  4. C-Suite Strategy & Finance: Decision-makers seeking to de-risk rapid AI scaling while maintaining a competitive edge in operations.

Register Here

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