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.
Maria is a product and innovation expert with over 15 years of energy & utility industry experience. Maria started her career in the generation space working in nuclear, solar, and gas power plants before migrating to work on energy demand management and optimization. Over the years she has relished digging into the details of energy and her passion lies in the interconnection between supply and demand and creating solutions for a flexible energy future. At PADO Maria works closely with clients, stakeholders, and the internal team to create a vision and path to enable data centers to maximize compute per megawatt.
Mark Ardire is a senior leader with over 20 years of experience in technology and HVAC. Leveraging his experience with product launches and market introduction, he spearheads the efforts at LG to roll out their HVAC solutions for the mission critical sector in North America. Building on LG's many successful deployments of these thermal management solutions for data centers throughout EMEA, Mark leads a team to deliver and further develop these advanced solutions to LG’s hyperscale and colocation clients.
With over 25 years of tech experience, Jun has helped create innovative solutions in biotech and energy. For Pado, Jun is building a proprietary data orchestration platform that will help the grid adapt to the growing demands of AI. Trained as a theoretical scientist, Jun is excited to bring his passion for AI/ML and high performance computing to Pado. Prior to joining Pado, Jun founded ThinkEco in 2008, an award-winning demand response company. ThinkEco's patented technology was the basis of commercial partnerships with leading companies, including Con Edison, GE Appliances, LG Electronics, and Rakuten. Jun has a BA, MA, and PhD (Chemical Physics) from Harvard, and a Professional Certificate in AI from Stanford.
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.
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.
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.
Data Center & Facilities Operations: Professionals looking to modernize "gray space" infrastructure and cooling for high-density AI.
IT & Infrastructure Architects: Technical leaders focused on bridging the gap between "white space" compute and energy management.
Sustainability & Energy Leads: Executives aiming to optimize PUE and turn energy efficiency into a measurable financial advantage.
C-Suite Strategy & Finance: Decision-makers seeking to de-risk rapid AI scaling while maintaining a competitive edge in operations.
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