Physical & Online Conference - 16 & 17 December 2025, Dallas Tx

Ai Data Centers Power & Cooling Strategies
  • Home
  • WHY ATTEND?
    • HYPERSCALERS
    • COLOCATION PROVIDERS
    • ELECTRICITY UTILITIES
    • ONSITE POWER GENERATION
    • NATURAL GAS SUPPLY
    • TRANSFORMER DELAYS
    • FINANCE & INVESTMENT
    • WATER UTILITIES
    • AI CAMPUS DEVELOPERS
    • SOLUTION PROVIDERS
    • USPS & AGENDA FOCUS
  • WHO YOU WILL MEET
    • FUNCTIONS AND SECTORS
  • AGENDA
    • TOPICS AT A GLANCE
    • BROCHURE DOWNLOAD
  • VENUE
    • THE DALLAS VENUE
  • WORKSHOPS
    • WORKSHOP DETAILS
  • REGISTER
  • FOR THE CONFERENCE
  • EXHIBITION PLAN
  • More
    • Home
    • WHY ATTEND?
      • HYPERSCALERS
      • COLOCATION PROVIDERS
      • ELECTRICITY UTILITIES
      • ONSITE POWER GENERATION
      • NATURAL GAS SUPPLY
      • TRANSFORMER DELAYS
      • FINANCE & INVESTMENT
      • WATER UTILITIES
      • AI CAMPUS DEVELOPERS
      • SOLUTION PROVIDERS
      • USPS & AGENDA FOCUS
    • WHO YOU WILL MEET
      • FUNCTIONS AND SECTORS
    • AGENDA
      • TOPICS AT A GLANCE
      • BROCHURE DOWNLOAD
    • VENUE
      • THE DALLAS VENUE
    • WORKSHOPS
      • WORKSHOP DETAILS
    • REGISTER
    • FOR THE CONFERENCE
    • EXHIBITION PLAN
Ai Data Centers Power & Cooling Strategies
  • Home
  • WHY ATTEND?
    • HYPERSCALERS
    • COLOCATION PROVIDERS
    • ELECTRICITY UTILITIES
    • ONSITE POWER GENERATION
    • NATURAL GAS SUPPLY
    • TRANSFORMER DELAYS
    • FINANCE & INVESTMENT
    • WATER UTILITIES
    • AI CAMPUS DEVELOPERS
    • SOLUTION PROVIDERS
    • USPS & AGENDA FOCUS
  • WHO YOU WILL MEET
    • FUNCTIONS AND SECTORS
  • AGENDA
    • TOPICS AT A GLANCE
    • BROCHURE DOWNLOAD
  • VENUE
    • THE DALLAS VENUE
  • WORKSHOPS
    • WORKSHOP DETAILS
  • REGISTER
  • FOR THE CONFERENCE
  • EXHIBITION PLAN

Helping Co-Location Facilities Future-Proof Cooling And Power Strategies

Diagram showing strategic cooling, power trade-offs, and AI workload blending in colocation and hyperscale data centers.

Strategic Alignment with Co-Location Realities

Through our recent conversations with leading co-location operators, it’s become clear that your strategic priorities diverge in important ways from hyperscaler peers. We’ve shaped this agenda to reflect those nuances—ensuring that each session delivers practical intelligence for your current operating reality, while still positioning you to anticipate what’s coming next.


Several of you noted that power draw remains uneven across tenants—some racks surging at 80 kilowatts, others idling at 10–15. In markets such as Texas, this uneven density will be under increasing political and regulatory scrutiny. In the future, operators carrying AI workloads will need to prove efficiency, resilience, and above all the ability to cool aggressively without triggering unsustainable water demand.


Learn How To Retrofit Smarter, Not Harder


On the cooling front, the agenda looks at  modular deployments—rack-level and pod-level systems that can scale in without forcing full-hall retrofits. We’ll examine how these approaches are performing in practice, from high-efficiency dry coolers in arid climates to advanced thermal monitoring and AI-driven controls that sustain performance at scale.


Exploring Best Fit On-Site Generation Solutions For Colocated Facilities 


Beyond the walls, on-site generation strategies are moving rapidly up the agenda. We’ll explore the economics of deploying gas turbines or reciprocating engines as peak-shaving tools, rather than baseload. From a colocation perspective as well as hyperscale. We’ll also examine how to pair on-site solar with batteries or hydrogen fuel cells—maintaining uptime without compromising on emissions, noise, or permitting thresholds in dense metro locations.


Navigating Power and Water Constraints While Protecting ROI


We’ve built this agenda to help you avoid the traps—whether that means being grid-locked by hyperscalers, stranded by compliance shifts, or left holding the cost of under-utilised generation. These sessions will arm you with frameworks to recover cost from tenants, validate investment models, and chart pathways that remain viable under evolving carbon and water limits.


De-Risking Investment in On-Site Pathways


The central takeaway is all about committing to a generation pathway that avoids being politically untenable or incompatible with future water and carbon standards.  


That’s why this forum will give you direct access to regulators, grid providers, and technology leaders—enabling a business-level dialogue about which roadmaps are genuinely feasible for your company.

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Also, The Agenda Is Relevant For Ai Scale Enterprise Level Data Centers

Collage of engineers and technicians working in data centers and electrical infrastructure.

Integrating Enterprise AI Case Studies : Lessons from Energy, Healthcare, and Beyond

While this may be a smaller segment of the agenda, it was important to include enterprise and commercial segment AI programs that are directly shaping data center design and operations. We focused on those verticals where AI integration is pushing power and cooling systems to their limits—particularly under GPU-intensive loads. Given that this is a Texas-based conference, it would be remiss not to involve industries such as oil and gas, healthcare, pharmaceuticals, and defense and aerospace.


In oil and gas, for example, operators are embedding AI into seismic modeling and reservoir simulation. This is forcing them to rethink legacy data center designs as GPU workloads surge—raising new questions about efficiency, resilience, and on-site generation. With the sector also positioned as a potential supplier of natural gas for these facilities, their role in this conversation is both practical and strategic.


That is why we are inviting representatives from oil and gas, pharmaceuticals, and other key verticals to contribute case studies. Their inclusion ensures the agenda offers multi-dimensional perspectives that cut across industries, helping participants see both the challenges and the opportunities of AI integration at scale.

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